diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..796edde --- /dev/null +++ b/.gitignore @@ -0,0 +1,10 @@ +nogit +data/* +__pycache__ +model/* +pretrained_model/* +logs/* +!.gitkeep +!data/example_input.json +!data/example_output.json +!data/example.txt \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..21f67f7 --- /dev/null +++ b/README.md @@ -0,0 +1,40 @@ +# 比赛 + +文本智能校对大赛baseline + +## 代码结构 +``` +├── command +│ └── train.sh # 训练脚本 +├── data +├── logs +├── pretrained_model +└── src + ├── __init__.py + ├── baseline # baseline系统 + ├── corrector.py # 文本校对入口 + ├── evaluate.py # 指标评估 + ├── metric.py # 指标计算文件 + ├── prepare_for_upload.py # 生成要提交的结果文件 + └── train.py # 训练入口 +``` + +## 使用说明 + +- 数据集获取：请于比赛官网报名获取数据集 +- 提供了基础校对系统的baseline，其中baseline模型训练参数说明参考src/baseline/trainer.py +- baseline中的预训练模型支持使用bert类模型，可从HuggingFace下载bert类预训练模型，如: [chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext)等 +- baseline上仅作参考，参赛队伍可对baseline进行二次开发，或采取其他解决方案。 + +## 开始训练 + +``` +cd command && sh train.sh +``` + +## 其他公开数据集 + +- CGED历年公开数据集：http://www.cged.tech/ +- NLPCC2018语法纠错数据集：http://tcci.ccf.org.cn/conference/2018/taskdata.php +- SIGHAN及相关训练集：http://ir.itc.ntnu.edu.tw/lre/sighan8csc.html + diff --git a/command/train.sh b/command/train.sh new file mode 100644 index 0000000..ef9bc19 --- /dev/null +++ b/command/train.sh @@ -0,0 +1,18 @@ +cd .. && CUDA_VISIBLE_DEVICES=0,1,2,3 python -m src.train \ +--in_model_dir "pretrained_model/chinese-roberta-wwm-ext" \ +--out_model_dir "model/ctc" \ +--epochs "50" \ +--batch_size "168" \ +--max_seq_len "128" \ +--learning_rate "5e-4" \ +--train_fp "data/example.txt" \ +--test_fp "data/example.txt" \ +--random_seed_num "22" \ +--check_val_every_n_epoch "1" \ +--early_stop_times "20" \ +--warmup_steps "-1" \ +--dev_data_ratio "0.1" \ +--training_mode "normal" \ +--amp true \ +--freeze_embedding false + diff --git a/data/.gitkeep b/data/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/data/example.txt b/data/example.txt new file mode 100644 index 0000000..f3d4b47 --- /dev/null +++ b/data/example.txt @@ -0,0 +1,248 @@ +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ 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+领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 +在公共场所要自觉遵守次序。 在公共场所要自觉遵守秩序。 +领导的按排，我坚决服从 领导的安排，我坚决服从 +今天的天气真错！ 今天的天气真不错！ +张明拾金不昧的事迹传遍全校全校。 张明拾金不昧的事迹传遍全校。 \ No newline at end of file diff --git a/data/example_input.json b/data/example_input.json new file mode 100644 index 0000000..3f86411 --- /dev/null +++ b/data/example_input.json @@ -0,0 +1,10 @@ +[ + { + "source": "领导的按排，我坚决服从", + "id": 1 + }, + { + "source": "今天的天气真错！", + "id": 2 + } +] \ No newline at end of file diff --git a/data/example_output.json b/data/example_output.json new file mode 100644 index 0000000..bc045d0 --- /dev/null +++ b/data/example_output.json @@ -0,0 +1,10 @@ +[ + { + "inference": "领导的安排，我坚决服从", + "id": 1 + }, + { + "inference": "今天的天气真不错！", + "id": 2 + } +] \ No newline at end of file diff --git a/logs/.gitkeep b/logs/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/model/.gitkeep b/model/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/pretrained_model/.gitkeep b/pretrained_model/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..bd6a94b --- /dev/null +++ b/requirements.txt @@ -0,0 +1,5 @@ +auto_argparse==0.0.7 +numpy==1.19.5 +rich==12.3.0 +torch==1.9.0+cu111 +transformers==4.6.0 diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000..3c93b96 --- /dev/null +++ b/src/__init__.py @@ -0,0 +1,30 @@ +import logging +import os +import re +from logging.handlers import TimedRotatingFileHandler + + +def setup_log(log_name): + logger = logging.getLogger(log_name) + log_path = os.path.join("logs", log_name) + logger.setLevel(logging.DEBUG) + file_handler = TimedRotatingFileHandler( + filename=log_path, when="MIDNIGHT", interval=1, backupCount=30 + ) + file_handler.suffix = "%Y-%m-%d.log" + file_handler.extMatch = re.compile(r"^\d{4}-\d{2}-\d{2}.log$") + stream_handler = logging.StreamHandler() + formatter = logging.Formatter( + "[%(asctime)s] [%(process)d] [%(levelname)s] - %(module)s.%(funcName)s (%(filename)s:%(lineno)d) - %(message)s" + ) + + stream_handler.setFormatter(file_handler) + file_handler.setFormatter( + formatter + ) + logger.addHandler(stream_handler) + logger.addHandler(file_handler) + return logger + + +logger = setup_log("ctc.log") diff --git a/src/baseline/__init__.py b/src/baseline/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/baseline/ctc_vocab/config.py b/src/baseline/ctc_vocab/config.py new file mode 100644 index 0000000..be83c2a --- /dev/null +++ b/src/baseline/ctc_vocab/config.py @@ -0,0 +1,3 @@ +class VocabConf: + detect_vocab_size = 2 + correct_vocab_size = 20675 \ No newline at end of file diff --git a/src/baseline/ctc_vocab/ctc_correct_tags.txt b/src/baseline/ctc_vocab/ctc_correct_tags.txt new file mode 100644 index 0000000..7a8348f --- /dev/null +++ b/src/baseline/ctc_vocab/ctc_correct_tags.txt @@ -0,0 +1,20675 @@ +[PAD] +$KEEP +$DELETE +[unused3] +[unused4] +[unused5] +[unused6] +[unused7] +[unused8] +[unused9] +[REPLACE_UNK] +[APPEND_UNK] +[unused12] +[unused13] +[unused14] +[unused15] +[unused16] +[unused17] +[unused18] +[unused19] +[unused20] +[unused21] +[unused22] +[unused23] +[unused24] +[unused25] +[unused26] +[unused27] +[unused28] +[unused29] +[unused30] +[unused31] +[unused32] +[unused33] +[unused34] +[unused35] +[unused36] +[unused37] +[unused38] +[unused39] +[unused40] +[unused41] +[unused42] +[unused43] +[unused44] +[unused45] +[unused46] +[unused47] +[unused48] +[unused49] +[unused50] +[unused51] +[unused52] +[unused53] +[unused54] +[unused55] +[unused56] +[unused57] +[unused58] +[unused59] +[unused60] +[unused61] +[unused62] +[unused63] +[unused64] +[unused65] +[unused66] +[unused67] +[unused68] +[unused69] +[unused70] +[unused71] +[unused72] +[unused73] +[unused74] +[unused75] +[unused76] +[unused77] +[unused78] +[unused79] +[unused80] +[unused81] +[unused82] +[unused83] +[unused84] +[unused85] +[unused86] +[unused87] +[unused88] +[unused89] +[unused90] +[unused91] +[unused92] +[unused93] +[unused94] +[unused95] +[unused96] +[unused97] +[unused98] +[unused99] +[UNK] +[CLS] +[SEP] +[MASK] +##[ +[EXTEND_0] +[EXTEND_1] +[EXTEND_2] +[EXTEND_3] +[EXTEND_4] +[EXTEND_5] +[EXTEND_6] +[EXTEND_7] +[EXTEND_8] +[EXTEND_9] +[EXTEND_10] +[EXTEND_11] 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+$REPLACE_兽 +$REPLACE_冀 +$REPLACE_内 +$REPLACE_円 +$REPLACE_冇 +$REPLACE_冈 +$REPLACE_冉 +$REPLACE_冊 +$REPLACE_册 +$REPLACE_再 +$REPLACE_冏 +$REPLACE_冒 +$REPLACE_冕 +$REPLACE_冗 +$REPLACE_写 +$REPLACE_军 +$REPLACE_农 +$REPLACE_冠 +$REPLACE_冢 +$REPLACE_冤 +$REPLACE_冥 +$REPLACE_冨 +$REPLACE_冪 +$REPLACE_冬 +$REPLACE_冯 +$REPLACE_冰 +$REPLACE_冲 +$REPLACE_决 +$REPLACE_况 +$REPLACE_冶 +$REPLACE_冷 +$REPLACE_冻 +$REPLACE_冼 +$REPLACE_冽 +$REPLACE_冾 +$REPLACE_净 +$REPLACE_凄 +$REPLACE_准 +$REPLACE_凇 +$REPLACE_凈 +$REPLACE_凉 +$REPLACE_凋 +$REPLACE_凌 +$REPLACE_凍 +$REPLACE_减 +$REPLACE_凑 +$REPLACE_凛 +$REPLACE_凜 +$REPLACE_凝 +$REPLACE_几 +$REPLACE_凡 +$REPLACE_凤 +$REPLACE_処 +$REPLACE_凪 +$REPLACE_凭 +$REPLACE_凯 +$REPLACE_凰 +$REPLACE_凱 +$REPLACE_凳 +$REPLACE_凶 +$REPLACE_凸 +$REPLACE_凹 +$REPLACE_出 +$REPLACE_击 +$REPLACE_函 +$REPLACE_凿 +$REPLACE_刀 +$REPLACE_刁 +$REPLACE_刃 +$REPLACE_分 +$REPLACE_切 +$REPLACE_刈 +$REPLACE_刊 +$REPLACE_刍 +$REPLACE_刎 +$REPLACE_刑 +$REPLACE_划 +$REPLACE_列 +$REPLACE_刘 +$REPLACE_则 +$REPLACE_刚 +$REPLACE_创 +$REPLACE_初 +$REPLACE_删 +$REPLACE_判 +$REPLACE_別 +$REPLACE_刨 +$REPLACE_利 +$REPLACE_刪 +$REPLACE_别 +$REPLACE_刮 +$REPLACE_到 +$REPLACE_制 +$REPLACE_刷 +$REPLACE_券 +$REPLACE_刹 +$REPLACE_刺 +$REPLACE_刻 +$REPLACE_刽 +$REPLACE_剁 +$REPLACE_剂 +$REPLACE_剃 +$REPLACE_則 +$REPLACE_剉 +$REPLACE_削 +$REPLACE_剋 +$REPLACE_剌 +$REPLACE_前 +$REPLACE_剎 +$REPLACE_剐 +$REPLACE_剑 +$REPLACE_剔 +$REPLACE_剖 +$REPLACE_剛 +$REPLACE_剜 +$REPLACE_剝 +$REPLACE_剣 +$REPLACE_剤 +$REPLACE_剥 +$REPLACE_剧 +$REPLACE_剩 +$REPLACE_剪 +$REPLACE_副 +$REPLACE_割 +$REPLACE_創 +$REPLACE_剷 +$REPLACE_剽 +$REPLACE_剿 +$REPLACE_劃 +$REPLACE_劇 +$REPLACE_劈 +$REPLACE_劉 +$REPLACE_劊 +$REPLACE_劍 +$REPLACE_劏 +$REPLACE_劑 +$REPLACE_力 +$REPLACE_劝 +$REPLACE_办 +$REPLACE_功 +$REPLACE_加 +$REPLACE_务 +$REPLACE_劣 +$REPLACE_动 +$REPLACE_助 +$REPLACE_努 +$REPLACE_劫 +$REPLACE_劭 +$REPLACE_励 +$REPLACE_劲 +$REPLACE_劳 +$REPLACE_労 +$REPLACE_劵 +$REPLACE_効 +$REPLACE_劾 +$REPLACE_势 +$REPLACE_勁 +$REPLACE_勃 +$REPLACE_勇 +$REPLACE_勉 +$REPLACE_勋 +$REPLACE_勐 +$REPLACE_勒 +$REPLACE_動 +$REPLACE_勖 +$REPLACE_勘 +$REPLACE_務 +$REPLACE_勛 +$REPLACE_勝 +$REPLACE_勞 +$REPLACE_募 +$REPLACE_勢 +$REPLACE_勤 +$REPLACE_勧 +$REPLACE_勳 +$REPLACE_勵 +$REPLACE_勸 +$REPLACE_勺 +$REPLACE_勻 +$REPLACE_勾 +$REPLACE_勿 +$REPLACE_匀 +$REPLACE_包 +$REPLACE_匆 +$REPLACE_匈 +$REPLACE_匍 +$REPLACE_匐 +$REPLACE_匕 +$REPLACE_化 +$REPLACE_北 +$REPLACE_匙 +$REPLACE_匝 +$REPLACE_匠 +$REPLACE_匡 +$REPLACE_匣 +$REPLACE_匪 +$REPLACE_匮 +$REPLACE_匯 +$REPLACE_匱 +$REPLACE_匹 +$REPLACE_区 +$REPLACE_医 +$REPLACE_匾 +$REPLACE_匿 +$REPLACE_區 +$REPLACE_十 +$REPLACE_千 +$REPLACE_卅 +$REPLACE_升 +$REPLACE_午 +$REPLACE_卉 +$REPLACE_半 +$REPLACE_卍 +$REPLACE_华 +$REPLACE_协 +$REPLACE_卑 +$REPLACE_卒 +$REPLACE_卓 +$REPLACE_協 +$REPLACE_单 +$REPLACE_卖 +$REPLACE_南 +$REPLACE_単 +$REPLACE_博 +$REPLACE_卜 +$REPLACE_卞 +$REPLACE_卟 +$REPLACE_占 +$REPLACE_卡 +$REPLACE_卢 +$REPLACE_卤 +$REPLACE_卦 +$REPLACE_卧 +$REPLACE_卫 +$REPLACE_卮 +$REPLACE_卯 +$REPLACE_印 +$REPLACE_危 +$REPLACE_即 +$REPLACE_却 +$REPLACE_卵 +$REPLACE_卷 +$REPLACE_卸 +$REPLACE_卻 +$REPLACE_卿 +$REPLACE_厂 +$REPLACE_厄 +$REPLACE_厅 +$REPLACE_历 +$REPLACE_厉 +$REPLACE_压 +$REPLACE_厌 +$REPLACE_厕 +$REPLACE_厘 +$REPLACE_厚 +$REPLACE_厝 +$REPLACE_原 +$REPLACE_厢 +$REPLACE_厥 +$REPLACE_厦 +$REPLACE_厨 +$REPLACE_厩 +$REPLACE_厭 +$REPLACE_厮 +$REPLACE_厲 +$REPLACE_厳 +$REPLACE_去 +$REPLACE_县 +$REPLACE_叁 +$REPLACE_参 +$REPLACE_參 +$REPLACE_又 +$REPLACE_叉 +$REPLACE_及 +$REPLACE_友 +$REPLACE_双 +$REPLACE_反 +$REPLACE_収 +$REPLACE_发 +$REPLACE_叔 +$REPLACE_取 +$REPLACE_受 +$REPLACE_变 +$REPLACE_叙 +$REPLACE_叛 +$REPLACE_叟 +$REPLACE_叠 +$REPLACE_叡 +$REPLACE_叢 +$REPLACE_口 +$REPLACE_古 +$REPLACE_句 +$REPLACE_另 +$REPLACE_叨 +$REPLACE_叩 +$REPLACE_只 +$REPLACE_叫 +$REPLACE_召 +$REPLACE_叭 +$REPLACE_叮 +$REPLACE_可 +$REPLACE_台 +$REPLACE_叱 +$REPLACE_史 +$REPLACE_右 +$REPLACE_叵 +$REPLACE_叶 +$REPLACE_号 +$REPLACE_司 +$REPLACE_叹 +$REPLACE_叻 +$REPLACE_叼 +$REPLACE_叽 +$REPLACE_吁 +$REPLACE_吃 +$REPLACE_各 +$REPLACE_吆 +$REPLACE_合 +$REPLACE_吉 +$REPLACE_吊 +$REPLACE_吋 +$REPLACE_同 +$REPLACE_名 +$REPLACE_后 +$REPLACE_吏 +$REPLACE_吐 +$REPLACE_向 +$REPLACE_吒 +$REPLACE_吓 +$REPLACE_吕 +$REPLACE_吖 +$REPLACE_吗 +$REPLACE_君 +$REPLACE_吝 +$REPLACE_吞 +$REPLACE_吟 +$REPLACE_吠 +$REPLACE_吡 +$REPLACE_否 +$REPLACE_吧 +$REPLACE_吨 +$REPLACE_吩 +$REPLACE_含 +$REPLACE_听 +$REPLACE_吭 +$REPLACE_吮 +$REPLACE_启 +$REPLACE_吱 +$REPLACE_吳 +$REPLACE_吴 +$REPLACE_吵 +$REPLACE_吶 +$REPLACE_吸 +$REPLACE_吹 +$REPLACE_吻 +$REPLACE_吼 +$REPLACE_吽 +$REPLACE_吾 +$REPLACE_呀 +$REPLACE_呂 +$REPLACE_呃 +$REPLACE_呆 +$REPLACE_呈 +$REPLACE_告 +$REPLACE_呋 +$REPLACE_呎 +$REPLACE_呐 +$REPLACE_呓 +$REPLACE_呕 +$REPLACE_呗 +$REPLACE_员 +$REPLACE_呛 +$REPLACE_呜 +$REPLACE_呢 +$REPLACE_呤 +$REPLACE_呦 +$REPLACE_周 +$REPLACE_呱 +$REPLACE_呲 +$REPLACE_味 +$REPLACE_呵 +$REPLACE_呷 +$REPLACE_呸 +$REPLACE_呻 +$REPLACE_呼 +$REPLACE_命 +$REPLACE_咀 +$REPLACE_咁 +$REPLACE_咂 +$REPLACE_咄 +$REPLACE_咆 +$REPLACE_咋 +$REPLACE_和 +$REPLACE_咎 +$REPLACE_咏 +$REPLACE_咐 +$REPLACE_咒 +$REPLACE_咔 +$REPLACE_咕 +$REPLACE_咖 +$REPLACE_咗 +$REPLACE_咘 +$REPLACE_咙 +$REPLACE_咚 +$REPLACE_咛 +$REPLACE_咣 +$REPLACE_咤 +$REPLACE_咦 +$REPLACE_咧 +$REPLACE_咨 +$REPLACE_咩 +$REPLACE_咪 +$REPLACE_咫 +$REPLACE_咬 +$REPLACE_咭 +$REPLACE_咯 +$REPLACE_咱 +$REPLACE_咲 +$REPLACE_咳 +$REPLACE_咸 +$REPLACE_咻 +$REPLACE_咽 +$REPLACE_咿 +$REPLACE_哀 +$REPLACE_品 +$REPLACE_哂 +$REPLACE_哄 +$REPLACE_哆 +$REPLACE_哇 +$REPLACE_哈 +$REPLACE_哉 +$REPLACE_哋 +$REPLACE_哌 +$REPLACE_响 +$REPLACE_哎 +$REPLACE_哏 +$REPLACE_哐 +$REPLACE_哑 +$REPLACE_哒 +$REPLACE_哔 +$REPLACE_哗 +$REPLACE_哟 +$REPLACE_員 +$REPLACE_哥 +$REPLACE_哦 +$REPLACE_哧 +$REPLACE_哨 +$REPLACE_哩 +$REPLACE_哪 +$REPLACE_哭 +$REPLACE_哮 +$REPLACE_哲 +$REPLACE_哺 +$REPLACE_哼 +$REPLACE_哽 +$REPLACE_唁 +$REPLACE_唄 +$REPLACE_唆 +$REPLACE_唇 +$REPLACE_唉 +$REPLACE_唏 +$REPLACE_唐 +$REPLACE_唑 +$REPLACE_唔 +$REPLACE_唠 +$REPLACE_唤 +$REPLACE_唧 +$REPLACE_唬 +$REPLACE_售 +$REPLACE_唯 +$REPLACE_唰 +$REPLACE_唱 +$REPLACE_唳 +$REPLACE_唷 +$REPLACE_唸 +$REPLACE_唾 +$REPLACE_啃 +$REPLACE_啄 +$REPLACE_商 +$REPLACE_啉 +$REPLACE_啊 +$REPLACE_問 +$REPLACE_啓 +$REPLACE_啕 +$REPLACE_啖 +$REPLACE_啜 +$REPLACE_啞 +$REPLACE_啟 +$REPLACE_啡 +$REPLACE_啤 +$REPLACE_啥 +$REPLACE_啦 +$REPLACE_啧 +$REPLACE_啪 +$REPLACE_啫 +$REPLACE_啬 +$REPLACE_啮 +$REPLACE_啰 +$REPLACE_啱 +$REPLACE_啲 +$REPLACE_啵 +$REPLACE_啶 +$REPLACE_啷 +$REPLACE_啸 +$REPLACE_啻 +$REPLACE_啼 +$REPLACE_啾 +$REPLACE_喀 +$REPLACE_喂 +$REPLACE_喃 +$REPLACE_善 +$REPLACE_喆 +$REPLACE_喇 +$REPLACE_喉 +$REPLACE_喊 +$REPLACE_喋 +$REPLACE_喎 +$REPLACE_喏 +$REPLACE_喔 +$REPLACE_喘 +$REPLACE_喙 +$REPLACE_喚 +$REPLACE_喜 +$REPLACE_喝 +$REPLACE_喟 +$REPLACE_喧 +$REPLACE_喪 +$REPLACE_喫 +$REPLACE_喬 +$REPLACE_單 +$REPLACE_喰 +$REPLACE_喱 +$REPLACE_喲 +$REPLACE_喳 +$REPLACE_喵 +$REPLACE_営 +$REPLACE_喷 +$REPLACE_喹 +$REPLACE_喺 +$REPLACE_喻 +$REPLACE_喽 +$REPLACE_嗅 +$REPLACE_嗆 +$REPLACE_嗇 +$REPLACE_嗎 +$REPLACE_嗑 +$REPLACE_嗒 +$REPLACE_嗓 +$REPLACE_嗔 +$REPLACE_嗖 +$REPLACE_嗚 +$REPLACE_嗜 +$REPLACE_嗝 +$REPLACE_嗟 +$REPLACE_嗡 +$REPLACE_嗣 +$REPLACE_嗤 +$REPLACE_嗦 +$REPLACE_嗨 +$REPLACE_嗪 +$REPLACE_嗬 +$REPLACE_嗯 +$REPLACE_嗰 +$REPLACE_嗲 +$REPLACE_嗳 +$REPLACE_嗶 +$REPLACE_嗷 +$REPLACE_嗽 +$REPLACE_嘀 +$REPLACE_嘅 +$REPLACE_嘆 +$REPLACE_嘈 +$REPLACE_嘉 +$REPLACE_嘌 +$REPLACE_嘍 +$REPLACE_嘎 +$REPLACE_嘔 +$REPLACE_嘖 +$REPLACE_嘗 +$REPLACE_嘘 +$REPLACE_嘚 +$REPLACE_嘛 +$REPLACE_嘜 +$REPLACE_嘞 +$REPLACE_嘟 +$REPLACE_嘢 +$REPLACE_嘣 +$REPLACE_嘤 +$REPLACE_嘧 +$REPLACE_嘩 +$REPLACE_嘭 +$REPLACE_嘮 +$REPLACE_嘯 +$REPLACE_嘰 +$REPLACE_嘱 +$REPLACE_嘲 +$REPLACE_嘴 +$REPLACE_嘶 +$REPLACE_嘸 +$REPLACE_嘹 +$REPLACE_嘻 +$REPLACE_嘿 +$REPLACE_噁 +$REPLACE_噌 +$REPLACE_噎 +$REPLACE_噓 +$REPLACE_噔 +$REPLACE_噗 +$REPLACE_噙 +$REPLACE_噜 +$REPLACE_噠 +$REPLACE_噢 +$REPLACE_噤 +$REPLACE_器 +$REPLACE_噩 +$REPLACE_噪 +$REPLACE_噬 +$REPLACE_噱 +$REPLACE_噴 +$REPLACE_噶 +$REPLACE_噸 +$REPLACE_噹 +$REPLACE_噻 +$REPLACE_噼 +$REPLACE_嚀 +$REPLACE_嚇 +$REPLACE_嚎 +$REPLACE_嚏 +$REPLACE_嚐 +$REPLACE_嚓 +$REPLACE_嚕 +$REPLACE_嚟 +$REPLACE_嚣 +$REPLACE_嚥 +$REPLACE_嚨 +$REPLACE_嚮 +$REPLACE_嚴 +$REPLACE_嚷 +$REPLACE_嚼 +$REPLACE_囂 +$REPLACE_囉 +$REPLACE_囊 +$REPLACE_囍 +$REPLACE_囑 +$REPLACE_囔 +$REPLACE_囗 +$REPLACE_囚 +$REPLACE_四 +$REPLACE_囝 +$REPLACE_回 +$REPLACE_囟 +$REPLACE_因 +$REPLACE_囡 +$REPLACE_团 +$REPLACE_団 +$REPLACE_囤 +$REPLACE_囧 +$REPLACE_囪 +$REPLACE_囫 +$REPLACE_园 +$REPLACE_困 +$REPLACE_囱 +$REPLACE_囲 +$REPLACE_図 +$REPLACE_围 +$REPLACE_囹 +$REPLACE_固 +$REPLACE_国 +$REPLACE_图 +$REPLACE_囿 +$REPLACE_圃 +$REPLACE_圄 +$REPLACE_圆 +$REPLACE_圈 +$REPLACE_國 +$REPLACE_圍 +$REPLACE_圏 +$REPLACE_園 +$REPLACE_圓 +$REPLACE_圖 +$REPLACE_團 +$REPLACE_圜 +$REPLACE_土 +$REPLACE_圣 +$REPLACE_圧 +$REPLACE_在 +$REPLACE_圩 +$REPLACE_圭 +$REPLACE_地 +$REPLACE_圳 +$REPLACE_场 +$REPLACE_圻 +$REPLACE_圾 +$REPLACE_址 +$REPLACE_坂 +$REPLACE_均 +$REPLACE_坊 +$REPLACE_坍 +$REPLACE_坎 +$REPLACE_坏 +$REPLACE_坐 +$REPLACE_坑 +$REPLACE_块 +$REPLACE_坚 +$REPLACE_坛 +$REPLACE_坝 +$REPLACE_坞 +$REPLACE_坟 +$REPLACE_坠 +$REPLACE_坡 +$REPLACE_坤 +$REPLACE_坦 +$REPLACE_坨 +$REPLACE_坪 +$REPLACE_坯 +$REPLACE_坳 +$REPLACE_坵 +$REPLACE_坷 +$REPLACE_垂 +$REPLACE_垃 +$REPLACE_垄 +$REPLACE_型 +$REPLACE_垒 +$REPLACE_垚 +$REPLACE_垛 +$REPLACE_垠 +$REPLACE_垢 +$REPLACE_垣 +$REPLACE_垦 +$REPLACE_垩 +$REPLACE_垫 +$REPLACE_垭 +$REPLACE_垮 +$REPLACE_垵 +$REPLACE_埂 +$REPLACE_埃 +$REPLACE_埋 +$REPLACE_城 +$REPLACE_埔 +$REPLACE_埕 +$REPLACE_埗 +$REPLACE_域 +$REPLACE_埠 +$REPLACE_埤 +$REPLACE_埵 +$REPLACE_執 +$REPLACE_埸 +$REPLACE_培 +$REPLACE_基 +$REPLACE_埼 +$REPLACE_堀 +$REPLACE_堂 +$REPLACE_堃 +$REPLACE_堅 +$REPLACE_堆 +$REPLACE_堇 +$REPLACE_堑 +$REPLACE_堕 +$REPLACE_堙 +$REPLACE_堡 +$REPLACE_堤 +$REPLACE_堪 +$REPLACE_堯 +$REPLACE_堰 +$REPLACE_報 +$REPLACE_場 +$REPLACE_堵 +$REPLACE_堺 +$REPLACE_堿 +$REPLACE_塊 +$REPLACE_塌 +$REPLACE_塑 +$REPLACE_塔 +$REPLACE_塗 +$REPLACE_塘 +$REPLACE_塚 +$REPLACE_塞 +$REPLACE_塢 +$REPLACE_塩 +$REPLACE_填 +$REPLACE_塬 +$REPLACE_塭 +$REPLACE_塵 +$REPLACE_塾 +$REPLACE_墀 +$REPLACE_境 +$REPLACE_墅 +$REPLACE_墉 +$REPLACE_墊 +$REPLACE_墒 +$REPLACE_墓 +$REPLACE_増 +$REPLACE_墘 +$REPLACE_墙 +$REPLACE_墜 +$REPLACE_增 +$REPLACE_墟 +$REPLACE_墨 +$REPLACE_墩 +$REPLACE_墮 +$REPLACE_墳 +$REPLACE_墻 +$REPLACE_墾 +$REPLACE_壁 +$REPLACE_壅 +$REPLACE_壆 +$REPLACE_壇 +$REPLACE_壊 +$REPLACE_壑 +$REPLACE_壓 +$REPLACE_壕 +$REPLACE_壘 +$REPLACE_壞 +$REPLACE_壟 +$REPLACE_壢 +$REPLACE_壤 +$REPLACE_壩 +$REPLACE_士 +$REPLACE_壬 +$REPLACE_壮 +$REPLACE_壯 +$REPLACE_声 +$REPLACE_売 +$REPLACE_壳 +$REPLACE_壶 +$REPLACE_壹 +$REPLACE_壺 +$REPLACE_壽 +$REPLACE_处 +$REPLACE_备 +$REPLACE_変 +$REPLACE_复 +$REPLACE_夏 +$REPLACE_夔 +$REPLACE_夕 +$REPLACE_外 +$REPLACE_夙 +$REPLACE_多 +$REPLACE_夜 +$REPLACE_够 +$REPLACE_夠 +$REPLACE_夢 +$REPLACE_夥 +$REPLACE_大 +$REPLACE_天 +$REPLACE_太 +$REPLACE_夫 +$REPLACE_夭 +$REPLACE_央 +$REPLACE_夯 +$REPLACE_失 +$REPLACE_头 +$REPLACE_夷 +$REPLACE_夸 +$REPLACE_夹 +$REPLACE_夺 +$REPLACE_夾 +$REPLACE_奂 +$REPLACE_奄 +$REPLACE_奇 +$REPLACE_奈 +$REPLACE_奉 +$REPLACE_奋 +$REPLACE_奎 +$REPLACE_奏 +$REPLACE_奐 +$REPLACE_契 +$REPLACE_奔 +$REPLACE_奕 +$REPLACE_奖 +$REPLACE_套 +$REPLACE_奘 +$REPLACE_奚 +$REPLACE_奠 +$REPLACE_奢 +$REPLACE_奥 +$REPLACE_奧 +$REPLACE_奪 +$REPLACE_奬 +$REPLACE_奮 +$REPLACE_女 +$REPLACE_奴 +$REPLACE_奶 +$REPLACE_奸 +$REPLACE_她 +$REPLACE_好 +$REPLACE_如 +$REPLACE_妃 +$REPLACE_妄 +$REPLACE_妆 +$REPLACE_妇 +$REPLACE_妈 +$REPLACE_妊 +$REPLACE_妍 +$REPLACE_妒 +$REPLACE_妓 +$REPLACE_妖 +$REPLACE_妘 +$REPLACE_妙 +$REPLACE_妝 +$REPLACE_妞 +$REPLACE_妣 +$REPLACE_妤 +$REPLACE_妥 +$REPLACE_妨 +$REPLACE_妩 +$REPLACE_妪 +$REPLACE_妮 +$REPLACE_妲 +$REPLACE_妳 +$REPLACE_妹 +$REPLACE_妻 +$REPLACE_妾 +$REPLACE_姆 +$REPLACE_姉 +$REPLACE_姊 +$REPLACE_始 +$REPLACE_姍 +$REPLACE_姐 +$REPLACE_姑 +$REPLACE_姒 +$REPLACE_姓 +$REPLACE_委 +$REPLACE_姗 +$REPLACE_姚 +$REPLACE_姜 +$REPLACE_姝 +$REPLACE_姣 +$REPLACE_姥 +$REPLACE_姦 +$REPLACE_姨 +$REPLACE_姪 +$REPLACE_姫 +$REPLACE_姬 +$REPLACE_姹 +$REPLACE_姻 +$REPLACE_姿 +$REPLACE_威 +$REPLACE_娃 +$REPLACE_娄 +$REPLACE_娅 +$REPLACE_娆 +$REPLACE_娇 +$REPLACE_娉 +$REPLACE_娑 +$REPLACE_娓 +$REPLACE_娘 +$REPLACE_娛 +$REPLACE_娜 +$REPLACE_娟 +$REPLACE_娠 +$REPLACE_娣 +$REPLACE_娥 +$REPLACE_娩 +$REPLACE_娱 +$REPLACE_娲 +$REPLACE_娴 +$REPLACE_娶 +$REPLACE_娼 +$REPLACE_婀 +$REPLACE_婁 +$REPLACE_婆 +$REPLACE_婉 +$REPLACE_婊 +$REPLACE_婕 +$REPLACE_婚 +$REPLACE_婢 +$REPLACE_婦 +$REPLACE_婧 +$REPLACE_婪 +$REPLACE_婭 +$REPLACE_婴 +$REPLACE_婵 +$REPLACE_婶 +$REPLACE_婷 +$REPLACE_婺 +$REPLACE_婿 +$REPLACE_媒 +$REPLACE_媚 +$REPLACE_媛 +$REPLACE_媞 +$REPLACE_媧 +$REPLACE_媲 +$REPLACE_媳 +$REPLACE_媽 +$REPLACE_媾 +$REPLACE_嫁 +$REPLACE_嫂 +$REPLACE_嫉 +$REPLACE_嫌 +$REPLACE_嫑 +$REPLACE_嫔 +$REPLACE_嫖 +$REPLACE_嫘 +$REPLACE_嫚 +$REPLACE_嫡 +$REPLACE_嫣 +$REPLACE_嫦 +$REPLACE_嫩 +$REPLACE_嫲 +$REPLACE_嫵 +$REPLACE_嫻 +$REPLACE_嬅 +$REPLACE_嬉 +$REPLACE_嬌 +$REPLACE_嬗 +$REPLACE_嬛 +$REPLACE_嬢 +$REPLACE_嬤 +$REPLACE_嬪 +$REPLACE_嬰 +$REPLACE_嬴 +$REPLACE_嬷 +$REPLACE_嬸 +$REPLACE_嬿 +$REPLACE_孀 +$REPLACE_孃 +$REPLACE_子 +$REPLACE_孑 +$REPLACE_孔 +$REPLACE_孕 +$REPLACE_孖 +$REPLACE_字 +$REPLACE_存 +$REPLACE_孙 +$REPLACE_孚 +$REPLACE_孛 +$REPLACE_孜 +$REPLACE_孝 +$REPLACE_孟 +$REPLACE_孢 +$REPLACE_季 +$REPLACE_孤 +$REPLACE_学 +$REPLACE_孩 +$REPLACE_孪 +$REPLACE_孫 +$REPLACE_孬 +$REPLACE_孰 +$REPLACE_孱 +$REPLACE_孳 +$REPLACE_孵 +$REPLACE_學 +$REPLACE_孺 +$REPLACE_孽 +$REPLACE_孿 +$REPLACE_宁 +$REPLACE_它 +$REPLACE_宅 +$REPLACE_宇 +$REPLACE_守 +$REPLACE_安 +$REPLACE_宋 +$REPLACE_完 +$REPLACE_宏 +$REPLACE_宓 +$REPLACE_宕 +$REPLACE_宗 +$REPLACE_官 +$REPLACE_宙 +$REPLACE_定 +$REPLACE_宛 +$REPLACE_宜 +$REPLACE_宝 +$REPLACE_实 +$REPLACE_実 +$REPLACE_宠 +$REPLACE_审 +$REPLACE_客 +$REPLACE_宣 +$REPLACE_室 +$REPLACE_宥 +$REPLACE_宦 +$REPLACE_宪 +$REPLACE_宫 +$REPLACE_宮 +$REPLACE_宰 +$REPLACE_害 +$REPLACE_宴 +$REPLACE_宵 +$REPLACE_家 +$REPLACE_宸 +$REPLACE_容 +$REPLACE_宽 +$REPLACE_宾 +$REPLACE_宿 +$REPLACE_寂 +$REPLACE_寄 +$REPLACE_寅 +$REPLACE_密 +$REPLACE_寇 +$REPLACE_富 +$REPLACE_寐 +$REPLACE_寒 +$REPLACE_寓 +$REPLACE_寛 +$REPLACE_寝 +$REPLACE_寞 +$REPLACE_察 +$REPLACE_寡 +$REPLACE_寢 +$REPLACE_寥 +$REPLACE_實 +$REPLACE_寧 +$REPLACE_寨 +$REPLACE_審 +$REPLACE_寫 +$REPLACE_寬 +$REPLACE_寮 +$REPLACE_寰 +$REPLACE_寵 +$REPLACE_寶 +$REPLACE_寸 +$REPLACE_对 +$REPLACE_寺 +$REPLACE_寻 +$REPLACE_导 +$REPLACE_対 +$REPLACE_寿 +$REPLACE_封 +$REPLACE_専 +$REPLACE_射 +$REPLACE_将 +$REPLACE_將 +$REPLACE_專 +$REPLACE_尉 +$REPLACE_尊 +$REPLACE_尋 +$REPLACE_對 +$REPLACE_導 +$REPLACE_小 +$REPLACE_少 +$REPLACE_尔 +$REPLACE_尕 +$REPLACE_尖 +$REPLACE_尘 +$REPLACE_尚 +$REPLACE_尝 +$REPLACE_尤 +$REPLACE_尧 +$REPLACE_尬 +$REPLACE_就 +$REPLACE_尴 +$REPLACE_尷 +$REPLACE_尸 +$REPLACE_尹 +$REPLACE_尺 +$REPLACE_尻 +$REPLACE_尼 +$REPLACE_尽 +$REPLACE_尾 +$REPLACE_尿 +$REPLACE_局 +$REPLACE_屁 +$REPLACE_层 +$REPLACE_屄 +$REPLACE_居 +$REPLACE_屆 +$REPLACE_屈 +$REPLACE_屉 +$REPLACE_届 +$REPLACE_屋 +$REPLACE_屌 +$REPLACE_屍 +$REPLACE_屎 +$REPLACE_屏 +$REPLACE_屐 +$REPLACE_屑 +$REPLACE_展 +$REPLACE_屜 +$REPLACE_属 +$REPLACE_屠 +$REPLACE_屡 +$REPLACE_屢 +$REPLACE_層 +$REPLACE_履 +$REPLACE_屬 +$REPLACE_屯 +$REPLACE_山 +$REPLACE_屹 +$REPLACE_屿 +$REPLACE_岀 +$REPLACE_岁 +$REPLACE_岂 +$REPLACE_岌 +$REPLACE_岐 +$REPLACE_岑 +$REPLACE_岔 +$REPLACE_岖 +$REPLACE_岗 +$REPLACE_岘 +$REPLACE_岙 +$REPLACE_岚 +$REPLACE_岛 +$REPLACE_岡 +$REPLACE_岩 +$REPLACE_岫 +$REPLACE_岬 +$REPLACE_岭 +$REPLACE_岱 +$REPLACE_岳 +$REPLACE_岷 +$REPLACE_岸 +$REPLACE_峇 +$REPLACE_峋 +$REPLACE_峒 +$REPLACE_峙 +$REPLACE_峡 +$REPLACE_峤 +$REPLACE_峥 +$REPLACE_峦 +$REPLACE_峨 +$REPLACE_峪 +$REPLACE_峭 +$REPLACE_峯 +$REPLACE_峰 +$REPLACE_峴 +$REPLACE_島 +$REPLACE_峻 +$REPLACE_峽 +$REPLACE_崁 +$REPLACE_崂 +$REPLACE_崆 +$REPLACE_崇 +$REPLACE_崎 +$REPLACE_崑 +$REPLACE_崔 +$REPLACE_崖 +$REPLACE_崗 +$REPLACE_崙 +$REPLACE_崛 +$REPLACE_崧 +$REPLACE_崩 +$REPLACE_崭 +$REPLACE_崴 +$REPLACE_崽 +$REPLACE_嵇 +$REPLACE_嵊 +$REPLACE_嵋 +$REPLACE_嵌 +$REPLACE_嵐 +$REPLACE_嵘 +$REPLACE_嵩 +$REPLACE_嵬 +$REPLACE_嵯 +$REPLACE_嶂 +$REPLACE_嶄 +$REPLACE_嶇 +$REPLACE_嶋 +$REPLACE_嶙 +$REPLACE_嶺 +$REPLACE_嶼 +$REPLACE_嶽 +$REPLACE_巅 +$REPLACE_巍 +$REPLACE_巒 +$REPLACE_巔 +$REPLACE_巖 +$REPLACE_川 +$REPLACE_州 +$REPLACE_巡 +$REPLACE_巢 +$REPLACE_工 +$REPLACE_左 +$REPLACE_巧 +$REPLACE_巨 +$REPLACE_巩 +$REPLACE_巫 +$REPLACE_差 +$REPLACE_己 +$REPLACE_已 +$REPLACE_巳 +$REPLACE_巴 +$REPLACE_巷 +$REPLACE_巻 +$REPLACE_巽 +$REPLACE_巾 +$REPLACE_巿 +$REPLACE_币 +$REPLACE_市 +$REPLACE_布 +$REPLACE_帅 +$REPLACE_帆 +$REPLACE_师 +$REPLACE_希 +$REPLACE_帐 +$REPLACE_帑 +$REPLACE_帕 +$REPLACE_帖 +$REPLACE_帘 +$REPLACE_帚 +$REPLACE_帛 +$REPLACE_帜 +$REPLACE_帝 +$REPLACE_帥 +$REPLACE_带 +$REPLACE_帧 +$REPLACE_師 +$REPLACE_席 +$REPLACE_帮 +$REPLACE_帯 +$REPLACE_帰 +$REPLACE_帳 +$REPLACE_帶 +$REPLACE_帷 +$REPLACE_常 +$REPLACE_帼 +$REPLACE_帽 +$REPLACE_幀 +$REPLACE_幂 +$REPLACE_幄 +$REPLACE_幅 +$REPLACE_幌 +$REPLACE_幔 +$REPLACE_幕 +$REPLACE_幟 +$REPLACE_幡 +$REPLACE_幢 +$REPLACE_幣 +$REPLACE_幫 +$REPLACE_干 +$REPLACE_平 +$REPLACE_年 +$REPLACE_并 +$REPLACE_幸 +$REPLACE_幹 +$REPLACE_幺 +$REPLACE_幻 +$REPLACE_幼 +$REPLACE_幽 +$REPLACE_幾 +$REPLACE_广 +$REPLACE_庁 +$REPLACE_広 +$REPLACE_庄 +$REPLACE_庆 +$REPLACE_庇 +$REPLACE_床 +$REPLACE_序 +$REPLACE_庐 +$REPLACE_库 +$REPLACE_应 +$REPLACE_底 +$REPLACE_庖 +$REPLACE_店 +$REPLACE_庙 +$REPLACE_庚 +$REPLACE_府 +$REPLACE_庞 +$REPLACE_废 +$REPLACE_庠 +$REPLACE_度 +$REPLACE_座 +$REPLACE_庫 +$REPLACE_庭 +$REPLACE_庵 +$REPLACE_庶 +$REPLACE_康 +$REPLACE_庸 +$REPLACE_庹 +$REPLACE_庾 +$REPLACE_廁 +$REPLACE_廂 +$REPLACE_廃 +$REPLACE_廈 +$REPLACE_廉 +$REPLACE_廊 +$REPLACE_廓 +$REPLACE_廖 +$REPLACE_廚 +$REPLACE_廝 +$REPLACE_廟 +$REPLACE_廠 +$REPLACE_廢 +$REPLACE_廣 +$REPLACE_廬 +$REPLACE_廳 +$REPLACE_延 +$REPLACE_廷 +$REPLACE_建 +$REPLACE_廿 +$REPLACE_开 +$REPLACE_弁 +$REPLACE_异 +$REPLACE_弃 +$REPLACE_弄 +$REPLACE_弈 +$REPLACE_弊 +$REPLACE_弋 +$REPLACE_式 +$REPLACE_弑 +$REPLACE_弒 +$REPLACE_弓 +$REPLACE_弔 +$REPLACE_引 +$REPLACE_弗 +$REPLACE_弘 +$REPLACE_弛 +$REPLACE_弟 +$REPLACE_张 +$REPLACE_弥 +$REPLACE_弦 +$REPLACE_弧 +$REPLACE_弩 +$REPLACE_弭 +$REPLACE_弯 +$REPLACE_弱 +$REPLACE_張 +$REPLACE_強 +$REPLACE_弹 +$REPLACE_强 +$REPLACE_弼 +$REPLACE_弾 +$REPLACE_彅 +$REPLACE_彆 +$REPLACE_彈 +$REPLACE_彌 +$REPLACE_彎 +$REPLACE_归 +$REPLACE_当 +$REPLACE_录 +$REPLACE_彗 +$REPLACE_彙 +$REPLACE_彝 +$REPLACE_形 +$REPLACE_彤 +$REPLACE_彥 +$REPLACE_彦 +$REPLACE_彧 +$REPLACE_彩 +$REPLACE_彪 +$REPLACE_彫 +$REPLACE_彬 +$REPLACE_彭 +$REPLACE_彰 +$REPLACE_影 +$REPLACE_彷 +$REPLACE_役 +$REPLACE_彻 +$REPLACE_彼 +$REPLACE_彿 +$REPLACE_往 +$REPLACE_征 +$REPLACE_径 +$REPLACE_待 +$REPLACE_徇 +$REPLACE_很 +$REPLACE_徉 +$REPLACE_徊 +$REPLACE_律 +$REPLACE_後 +$REPLACE_徐 +$REPLACE_徑 +$REPLACE_徒 +$REPLACE_従 +$REPLACE_徕 +$REPLACE_得 +$REPLACE_徘 +$REPLACE_徙 +$REPLACE_徜 +$REPLACE_從 +$REPLACE_徠 +$REPLACE_御 +$REPLACE_徨 +$REPLACE_復 +$REPLACE_循 +$REPLACE_徬 +$REPLACE_微 +$REPLACE_徳 +$REPLACE_徴 +$REPLACE_徵 +$REPLACE_德 +$REPLACE_徹 +$REPLACE_徼 +$REPLACE_徽 +$REPLACE_心 +$REPLACE_必 +$REPLACE_忆 +$REPLACE_忌 +$REPLACE_忍 +$REPLACE_忏 +$REPLACE_忐 +$REPLACE_忑 +$REPLACE_忒 +$REPLACE_忖 +$REPLACE_志 +$REPLACE_忘 +$REPLACE_忙 +$REPLACE_応 +$REPLACE_忠 +$REPLACE_忡 +$REPLACE_忤 +$REPLACE_忧 +$REPLACE_忪 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+$REPLACE_悸 +$REPLACE_悻 +$REPLACE_悼 +$REPLACE_悽 +$REPLACE_情 +$REPLACE_惆 +$REPLACE_惇 +$REPLACE_惊 +$REPLACE_惋 +$REPLACE_惑 +$REPLACE_惕 +$REPLACE_惘 +$REPLACE_惚 +$REPLACE_惜 +$REPLACE_惟 +$REPLACE_惠 +$REPLACE_惡 +$REPLACE_惦 +$REPLACE_惧 +$REPLACE_惨 +$REPLACE_惩 +$REPLACE_惫 +$REPLACE_惬 +$REPLACE_惭 +$REPLACE_惮 +$REPLACE_惯 +$REPLACE_惰 +$REPLACE_惱 +$REPLACE_想 +$REPLACE_惴 +$REPLACE_惶 +$REPLACE_惹 +$REPLACE_惺 +$REPLACE_愁 +$REPLACE_愆 +$REPLACE_愈 +$REPLACE_愉 +$REPLACE_愍 +$REPLACE_意 +$REPLACE_愕 +$REPLACE_愚 +$REPLACE_愛 +$REPLACE_愜 +$REPLACE_感 +$REPLACE_愣 +$REPLACE_愤 +$REPLACE_愧 +$REPLACE_愫 +$REPLACE_愷 +$REPLACE_愿 +$REPLACE_慄 +$REPLACE_慈 +$REPLACE_態 +$REPLACE_慌 +$REPLACE_慎 +$REPLACE_慑 +$REPLACE_慕 +$REPLACE_慘 +$REPLACE_慚 +$REPLACE_慟 +$REPLACE_慢 +$REPLACE_慣 +$REPLACE_慧 +$REPLACE_慨 +$REPLACE_慫 +$REPLACE_慮 +$REPLACE_慰 +$REPLACE_慳 +$REPLACE_慵 +$REPLACE_慶 +$REPLACE_慷 +$REPLACE_慾 +$REPLACE_憂 +$REPLACE_憊 +$REPLACE_憋 +$REPLACE_憎 +$REPLACE_憐 +$REPLACE_憑 +$REPLACE_憔 +$REPLACE_憚 +$REPLACE_憤 +$REPLACE_憧 +$REPLACE_憨 +$REPLACE_憩 +$REPLACE_憫 +$REPLACE_憬 +$REPLACE_憲 +$REPLACE_憶 +$REPLACE_憾 +$REPLACE_懂 +$REPLACE_懇 +$REPLACE_懈 +$REPLACE_應 +$REPLACE_懊 +$REPLACE_懋 +$REPLACE_懑 +$REPLACE_懒 +$REPLACE_懦 +$REPLACE_懲 +$REPLACE_懵 +$REPLACE_懶 +$REPLACE_懷 +$REPLACE_懸 +$REPLACE_懺 +$REPLACE_懼 +$REPLACE_懾 +$REPLACE_懿 +$REPLACE_戀 +$REPLACE_戈 +$REPLACE_戊 +$REPLACE_戌 +$REPLACE_戍 +$REPLACE_戎 +$REPLACE_戏 +$REPLACE_成 +$REPLACE_我 +$REPLACE_戒 +$REPLACE_戕 +$REPLACE_或 +$REPLACE_战 +$REPLACE_戚 +$REPLACE_戛 +$REPLACE_戟 +$REPLACE_戡 +$REPLACE_戦 +$REPLACE_截 +$REPLACE_戬 +$REPLACE_戮 +$REPLACE_戰 +$REPLACE_戲 +$REPLACE_戳 +$REPLACE_戴 +$REPLACE_戶 +$REPLACE_户 +$REPLACE_戸 +$REPLACE_戻 +$REPLACE_戾 +$REPLACE_房 +$REPLACE_所 +$REPLACE_扁 +$REPLACE_扇 +$REPLACE_扈 +$REPLACE_扉 +$REPLACE_手 +$REPLACE_才 +$REPLACE_扎 +$REPLACE_扑 +$REPLACE_扒 +$REPLACE_打 +$REPLACE_扔 +$REPLACE_払 +$REPLACE_托 +$REPLACE_扛 +$REPLACE_扣 +$REPLACE_扦 +$REPLACE_执 +$REPLACE_扩 +$REPLACE_扪 +$REPLACE_扫 +$REPLACE_扬 +$REPLACE_扭 +$REPLACE_扮 +$REPLACE_扯 +$REPLACE_扰 +$REPLACE_扱 +$REPLACE_扳 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+$REPLACE_栄 +$REPLACE_栅 +$REPLACE_标 +$REPLACE_栈 +$REPLACE_栉 +$REPLACE_栋 +$REPLACE_栎 +$REPLACE_栏 +$REPLACE_树 +$REPLACE_栓 +$REPLACE_栖 +$REPLACE_栗 +$REPLACE_校 +$REPLACE_栩 +$REPLACE_株 +$REPLACE_样 +$REPLACE_核 +$REPLACE_根 +$REPLACE_格 +$REPLACE_栽 +$REPLACE_栾 +$REPLACE_桀 +$REPLACE_桁 +$REPLACE_桂 +$REPLACE_桃 +$REPLACE_桅 +$REPLACE_框 +$REPLACE_案 +$REPLACE_桉 +$REPLACE_桌 +$REPLACE_桎 +$REPLACE_桐 +$REPLACE_桑 +$REPLACE_桓 +$REPLACE_桔 +$REPLACE_桜 +$REPLACE_桠 +$REPLACE_桡 +$REPLACE_桢 +$REPLACE_档 +$REPLACE_桥 +$REPLACE_桦 +$REPLACE_桧 +$REPLACE_桨 +$REPLACE_桩 +$REPLACE_桶 +$REPLACE_桿 +$REPLACE_梁 +$REPLACE_梅 +$REPLACE_梆 +$REPLACE_梏 +$REPLACE_梓 +$REPLACE_梗 +$REPLACE_條 +$REPLACE_梟 +$REPLACE_梢 +$REPLACE_梦 +$REPLACE_梧 +$REPLACE_梨 +$REPLACE_梭 +$REPLACE_梯 +$REPLACE_械 +$REPLACE_梳 +$REPLACE_梵 +$REPLACE_梶 +$REPLACE_检 +$REPLACE_棂 +$REPLACE_棄 +$REPLACE_棉 +$REPLACE_棋 +$REPLACE_棍 +$REPLACE_棒 +$REPLACE_棕 +$REPLACE_棗 +$REPLACE_棘 +$REPLACE_棚 +$REPLACE_棟 +$REPLACE_棠 +$REPLACE_棣 +$REPLACE_棧 +$REPLACE_森 +$REPLACE_棱 +$REPLACE_棲 +$REPLACE_棵 +$REPLACE_棹 +$REPLACE_棺 +$REPLACE_椁 +$REPLACE_椅 +$REPLACE_椋 +$REPLACE_植 +$REPLACE_椎 +$REPLACE_椒 +$REPLACE_検 +$REPLACE_椪 +$REPLACE_椭 +$REPLACE_椰 +$REPLACE_椹 +$REPLACE_椽 +$REPLACE_椿 +$REPLACE_楂 +$REPLACE_楊 +$REPLACE_楓 +$REPLACE_楔 +$REPLACE_楚 +$REPLACE_楝 +$REPLACE_楞 +$REPLACE_楠 +$REPLACE_楣 +$REPLACE_楨 +$REPLACE_楫 +$REPLACE_業 +$REPLACE_楮 +$REPLACE_極 +$REPLACE_楷 +$REPLACE_楸 +$REPLACE_楹 +$REPLACE_楼 +$REPLACE_楽 +$REPLACE_概 +$REPLACE_榄 +$REPLACE_榆 +$REPLACE_榈 +$REPLACE_榉 +$REPLACE_榔 +$REPLACE_榕 +$REPLACE_榖 +$REPLACE_榛 +$REPLACE_榜 +$REPLACE_榨 +$REPLACE_榫 +$REPLACE_榭 +$REPLACE_榮 +$REPLACE_榱 +$REPLACE_榴 +$REPLACE_榷 +$REPLACE_榻 +$REPLACE_槁 +$REPLACE_槃 +$REPLACE_構 +$REPLACE_槌 +$REPLACE_槍 +$REPLACE_槎 +$REPLACE_槐 +$REPLACE_槓 +$REPLACE_様 +$REPLACE_槛 +$REPLACE_槟 +$REPLACE_槤 +$REPLACE_槭 +$REPLACE_槲 +$REPLACE_槳 +$REPLACE_槻 +$REPLACE_槽 +$REPLACE_槿 +$REPLACE_樁 +$REPLACE_樂 +$REPLACE_樊 +$REPLACE_樑 +$REPLACE_樓 +$REPLACE_標 +$REPLACE_樞 +$REPLACE_樟 +$REPLACE_模 +$REPLACE_樣 +$REPLACE_権 +$REPLACE_横 +$REPLACE_樫 +$REPLACE_樯 +$REPLACE_樱 +$REPLACE_樵 +$REPLACE_樸 +$REPLACE_樹 +$REPLACE_樺 +$REPLACE_樽 +$REPLACE_樾 +$REPLACE_橄 +$REPLACE_橇 +$REPLACE_橋 +$REPLACE_橐 +$REPLACE_橘 +$REPLACE_橙 +$REPLACE_機 +$REPLACE_橡 +$REPLACE_橢 +$REPLACE_橫 +$REPLACE_橱 +$REPLACE_橹 +$REPLACE_橼 +$REPLACE_檀 +$REPLACE_檄 +$REPLACE_檎 +$REPLACE_檐 +$REPLACE_檔 +$REPLACE_檗 +$REPLACE_檜 +$REPLACE_檢 +$REPLACE_檬 +$REPLACE_檯 +$REPLACE_檳 +$REPLACE_檸 +$REPLACE_檻 +$REPLACE_櫃 +$REPLACE_櫚 +$REPLACE_櫛 +$REPLACE_櫥 +$REPLACE_櫸 +$REPLACE_櫻 +$REPLACE_欄 +$REPLACE_權 +$REPLACE_欒 +$REPLACE_欖 +$REPLACE_欠 +$REPLACE_次 +$REPLACE_欢 +$REPLACE_欣 +$REPLACE_欧 +$REPLACE_欲 +$REPLACE_欸 +$REPLACE_欺 +$REPLACE_欽 +$REPLACE_款 +$REPLACE_歆 +$REPLACE_歇 +$REPLACE_歉 +$REPLACE_歌 +$REPLACE_歎 +$REPLACE_歐 +$REPLACE_歓 +$REPLACE_歙 +$REPLACE_歛 +$REPLACE_歡 +$REPLACE_止 +$REPLACE_正 +$REPLACE_此 +$REPLACE_步 +$REPLACE_武 +$REPLACE_歧 +$REPLACE_歩 +$REPLACE_歪 +$REPLACE_歯 +$REPLACE_歲 +$REPLACE_歳 +$REPLACE_歴 +$REPLACE_歷 +$REPLACE_歸 +$REPLACE_歹 +$REPLACE_死 +$REPLACE_歼 +$REPLACE_殁 +$REPLACE_殃 +$REPLACE_殆 +$REPLACE_殇 +$REPLACE_殉 +$REPLACE_殊 +$REPLACE_残 +$REPLACE_殒 +$REPLACE_殓 +$REPLACE_殖 +$REPLACE_殘 +$REPLACE_殞 +$REPLACE_殡 +$REPLACE_殤 +$REPLACE_殭 +$REPLACE_殯 +$REPLACE_殲 +$REPLACE_殴 +$REPLACE_段 +$REPLACE_殷 +$REPLACE_殺 +$REPLACE_殼 +$REPLACE_殿 +$REPLACE_毀 +$REPLACE_毁 +$REPLACE_毂 +$REPLACE_毅 +$REPLACE_毆 +$REPLACE_毋 +$REPLACE_母 +$REPLACE_毎 +$REPLACE_每 +$REPLACE_毒 +$REPLACE_毓 +$REPLACE_比 +$REPLACE_毕 +$REPLACE_毗 +$REPLACE_毘 +$REPLACE_毙 +$REPLACE_毛 +$REPLACE_毡 +$REPLACE_毫 +$REPLACE_毯 +$REPLACE_毽 +$REPLACE_氈 +$REPLACE_氏 +$REPLACE_氐 +$REPLACE_民 +$REPLACE_氓 +$REPLACE_气 +$REPLACE_氖 +$REPLACE_気 +$REPLACE_氙 +$REPLACE_氛 +$REPLACE_氟 +$REPLACE_氡 +$REPLACE_氢 +$REPLACE_氣 +$REPLACE_氤 +$REPLACE_氦 +$REPLACE_氧 +$REPLACE_氨 +$REPLACE_氪 +$REPLACE_氫 +$REPLACE_氮 +$REPLACE_氯 +$REPLACE_氰 +$REPLACE_氲 +$REPLACE_水 +$REPLACE_氷 +$REPLACE_永 +$REPLACE_氹 +$REPLACE_氾 +$REPLACE_汀 +$REPLACE_汁 +$REPLACE_求 +$REPLACE_汆 +$REPLACE_汇 +$REPLACE_汉 +$REPLACE_汎 +$REPLACE_汐 +$REPLACE_汕 +$REPLACE_汗 +$REPLACE_汙 +$REPLACE_汛 +$REPLACE_汝 +$REPLACE_汞 +$REPLACE_江 +$REPLACE_池 +$REPLACE_污 +$REPLACE_汤 +$REPLACE_汨 +$REPLACE_汩 +$REPLACE_汪 +$REPLACE_汰 +$REPLACE_汲 +$REPLACE_汴 +$REPLACE_汶 +$REPLACE_汹 +$REPLACE_決 +$REPLACE_汽 +$REPLACE_汾 +$REPLACE_沁 +$REPLACE_沂 +$REPLACE_沃 +$REPLACE_沅 +$REPLACE_沈 +$REPLACE_沉 +$REPLACE_沌 +$REPLACE_沏 +$REPLACE_沐 +$REPLACE_沒 +$REPLACE_沓 +$REPLACE_沖 +$REPLACE_沙 +$REPLACE_沛 +$REPLACE_沟 +$REPLACE_没 +$REPLACE_沢 +$REPLACE_沣 +$REPLACE_沥 +$REPLACE_沦 +$REPLACE_沧 +$REPLACE_沪 +$REPLACE_沫 +$REPLACE_沭 +$REPLACE_沮 +$REPLACE_沱 +$REPLACE_河 +$REPLACE_沸 +$REPLACE_油 +$REPLACE_治 +$REPLACE_沼 +$REPLACE_沽 +$REPLACE_沾 +$REPLACE_沿 +$REPLACE_況 +$REPLACE_泄 +$REPLACE_泉 +$REPLACE_泊 +$REPLACE_泌 +$REPLACE_泓 +$REPLACE_法 +$REPLACE_泗 +$REPLACE_泛 +$REPLACE_泞 +$REPLACE_泠 +$REPLACE_泡 +$REPLACE_波 +$REPLACE_泣 +$REPLACE_泥 +$REPLACE_注 +$REPLACE_泪 +$REPLACE_泫 +$REPLACE_泮 +$REPLACE_泯 +$REPLACE_泰 +$REPLACE_泱 +$REPLACE_泳 +$REPLACE_泵 +$REPLACE_泷 +$REPLACE_泸 +$REPLACE_泻 +$REPLACE_泼 +$REPLACE_泽 +$REPLACE_泾 +$REPLACE_洁 +$REPLACE_洄 +$REPLACE_洋 +$REPLACE_洒 +$REPLACE_洗 +$REPLACE_洙 +$REPLACE_洛 +$REPLACE_洞 +$REPLACE_津 +$REPLACE_洩 +$REPLACE_洪 +$REPLACE_洮 +$REPLACE_洱 +$REPLACE_洲 +$REPLACE_洵 +$REPLACE_洶 +$REPLACE_洸 +$REPLACE_洹 +$REPLACE_活 +$REPLACE_洼 +$REPLACE_洽 +$REPLACE_派 +$REPLACE_流 +$REPLACE_浃 +$REPLACE_浄 +$REPLACE_浅 +$REPLACE_浆 +$REPLACE_浇 +$REPLACE_浊 +$REPLACE_测 +$REPLACE_济 +$REPLACE_浏 +$REPLACE_浑 +$REPLACE_浒 +$REPLACE_浓 +$REPLACE_浔 +$REPLACE_浙 +$REPLACE_浚 +$REPLACE_浜 +$REPLACE_浣 +$REPLACE_浦 +$REPLACE_浩 +$REPLACE_浪 +$REPLACE_浬 +$REPLACE_浮 +$REPLACE_浯 +$REPLACE_浴 +$REPLACE_海 +$REPLACE_浸 +$REPLACE_涂 +$REPLACE_涅 +$REPLACE_涇 +$REPLACE_消 +$REPLACE_涉 +$REPLACE_涌 +$REPLACE_涎 +$REPLACE_涓 +$REPLACE_涔 +$REPLACE_涕 +$REPLACE_涙 +$REPLACE_涛 +$REPLACE_涝 +$REPLACE_涞 +$REPLACE_涟 +$REPLACE_涠 +$REPLACE_涡 +$REPLACE_涣 +$REPLACE_涤 +$REPLACE_润 +$REPLACE_涧 +$REPLACE_涨 +$REPLACE_涩 +$REPLACE_涪 +$REPLACE_涮 +$REPLACE_涯 +$REPLACE_液 +$REPLACE_涵 +$REPLACE_涸 +$REPLACE_涼 +$REPLACE_涿 +$REPLACE_淀 +$REPLACE_淄 +$REPLACE_淅 +$REPLACE_淆 +$REPLACE_淇 +$REPLACE_淋 +$REPLACE_淌 +$REPLACE_淑 +$REPLACE_淒 +$REPLACE_淖 +$REPLACE_淘 +$REPLACE_淙 +$REPLACE_淚 +$REPLACE_淞 +$REPLACE_淡 +$REPLACE_淤 +$REPLACE_淦 +$REPLACE_淨 +$REPLACE_淩 +$REPLACE_淪 +$REPLACE_淫 +$REPLACE_淬 +$REPLACE_淮 +$REPLACE_深 +$REPLACE_淳 +$REPLACE_淵 +$REPLACE_混 +$REPLACE_淹 +$REPLACE_淺 +$REPLACE_添 +$REPLACE_淼 +$REPLACE_清 +$REPLACE_済 +$REPLACE_渉 +$REPLACE_渊 +$REPLACE_渋 +$REPLACE_渍 +$REPLACE_渎 +$REPLACE_渐 +$REPLACE_渔 +$REPLACE_渗 +$REPLACE_渙 +$REPLACE_渚 +$REPLACE_減 +$REPLACE_渝 +$REPLACE_渠 +$REPLACE_渡 +$REPLACE_渣 +$REPLACE_渤 +$REPLACE_渥 +$REPLACE_渦 +$REPLACE_温 +$REPLACE_測 +$REPLACE_渭 +$REPLACE_港 +$REPLACE_渲 +$REPLACE_渴 +$REPLACE_游 +$REPLACE_渺 +$REPLACE_渾 +$REPLACE_湃 +$REPLACE_湄 +$REPLACE_湊 +$REPLACE_湍 +$REPLACE_湖 +$REPLACE_湘 +$REPLACE_湛 +$REPLACE_湟 +$REPLACE_湧 +$REPLACE_湫 +$REPLACE_湮 +$REPLACE_湯 +$REPLACE_湳 +$REPLACE_湾 +$REPLACE_湿 +$REPLACE_満 +$REPLACE_溃 +$REPLACE_溅 +$REPLACE_溉 +$REPLACE_溏 +$REPLACE_源 +$REPLACE_準 +$REPLACE_溜 +$REPLACE_溝 +$REPLACE_溟 +$REPLACE_溢 +$REPLACE_溥 +$REPLACE_溧 +$REPLACE_溪 +$REPLACE_溫 +$REPLACE_溯 +$REPLACE_溱 +$REPLACE_溴 +$REPLACE_溶 +$REPLACE_溺 +$REPLACE_溼 +$REPLACE_滁 +$REPLACE_滂 +$REPLACE_滄 +$REPLACE_滅 +$REPLACE_滇 +$REPLACE_滋 +$REPLACE_滌 +$REPLACE_滑 +$REPLACE_滓 +$REPLACE_滔 +$REPLACE_滕 +$REPLACE_滙 +$REPLACE_滚 +$REPLACE_滝 +$REPLACE_滞 +$REPLACE_滟 +$REPLACE_满 +$REPLACE_滢 +$REPLACE_滤 +$REPLACE_滥 +$REPLACE_滦 +$REPLACE_滨 +$REPLACE_滩 +$REPLACE_滬 +$REPLACE_滯 +$REPLACE_滲 +$REPLACE_滴 +$REPLACE_滷 +$REPLACE_滸 +$REPLACE_滾 +$REPLACE_滿 +$REPLACE_漁 +$REPLACE_漂 +$REPLACE_漆 +$REPLACE_漉 +$REPLACE_漏 +$REPLACE_漓 +$REPLACE_演 +$REPLACE_漕 +$REPLACE_漠 +$REPLACE_漢 +$REPLACE_漣 +$REPLACE_漩 +$REPLACE_漪 +$REPLACE_漫 +$REPLACE_漬 +$REPLACE_漯 +$REPLACE_漱 +$REPLACE_漲 +$REPLACE_漳 +$REPLACE_漸 +$REPLACE_漾 +$REPLACE_漿 +$REPLACE_潆 +$REPLACE_潇 +$REPLACE_潋 +$REPLACE_潍 +$REPLACE_潑 +$REPLACE_潔 +$REPLACE_潘 +$REPLACE_潛 +$REPLACE_潜 +$REPLACE_潞 +$REPLACE_潟 +$REPLACE_潢 +$REPLACE_潤 +$REPLACE_潦 +$REPLACE_潧 +$REPLACE_潭 +$REPLACE_潮 +$REPLACE_潰 +$REPLACE_潴 +$REPLACE_潸 +$REPLACE_潺 +$REPLACE_潼 +$REPLACE_澀 +$REPLACE_澄 +$REPLACE_澆 +$REPLACE_澈 +$REPLACE_澍 +$REPLACE_澎 +$REPLACE_澗 +$REPLACE_澜 +$REPLACE_澡 +$REPLACE_澤 +$REPLACE_澧 +$REPLACE_澱 +$REPLACE_澳 +$REPLACE_澹 +$REPLACE_激 +$REPLACE_濁 +$REPLACE_濂 +$REPLACE_濃 +$REPLACE_濑 +$REPLACE_濒 +$REPLACE_濕 +$REPLACE_濘 +$REPLACE_濛 +$REPLACE_濟 +$REPLACE_濠 +$REPLACE_濡 +$REPLACE_濤 +$REPLACE_濫 +$REPLACE_濬 +$REPLACE_濮 +$REPLACE_濯 +$REPLACE_濱 +$REPLACE_濺 +$REPLACE_濾 +$REPLACE_瀅 +$REPLACE_瀆 +$REPLACE_瀉 +$REPLACE_瀋 +$REPLACE_瀏 +$REPLACE_瀑 +$REPLACE_瀕 +$REPLACE_瀘 +$REPLACE_瀚 +$REPLACE_瀛 +$REPLACE_瀝 +$REPLACE_瀞 +$REPLACE_瀟 +$REPLACE_瀧 +$REPLACE_瀨 +$REPLACE_瀬 +$REPLACE_瀰 +$REPLACE_瀾 +$REPLACE_灌 +$REPLACE_灏 +$REPLACE_灑 +$REPLACE_灘 +$REPLACE_灝 +$REPLACE_灞 +$REPLACE_灣 +$REPLACE_火 +$REPLACE_灬 +$REPLACE_灭 +$REPLACE_灯 +$REPLACE_灰 +$REPLACE_灵 +$REPLACE_灶 +$REPLACE_灸 +$REPLACE_灼 +$REPLACE_災 +$REPLACE_灾 +$REPLACE_灿 +$REPLACE_炀 +$REPLACE_炁 +$REPLACE_炅 +$REPLACE_炉 +$REPLACE_炊 +$REPLACE_炎 +$REPLACE_炒 +$REPLACE_炔 +$REPLACE_炕 +$REPLACE_炖 +$REPLACE_炙 +$REPLACE_炜 +$REPLACE_炫 +$REPLACE_炬 +$REPLACE_炭 +$REPLACE_炮 +$REPLACE_炯 +$REPLACE_炳 +$REPLACE_炷 +$REPLACE_炸 +$REPLACE_点 +$REPLACE_為 +$REPLACE_炼 +$REPLACE_炽 +$REPLACE_烁 +$REPLACE_烂 +$REPLACE_烃 +$REPLACE_烈 +$REPLACE_烊 +$REPLACE_烏 +$REPLACE_烘 +$REPLACE_烙 +$REPLACE_烛 +$REPLACE_烟 +$REPLACE_烤 +$REPLACE_烦 +$REPLACE_烧 +$REPLACE_烨 +$REPLACE_烩 +$REPLACE_烫 +$REPLACE_烬 +$REPLACE_热 +$REPLACE_烯 +$REPLACE_烷 +$REPLACE_烹 +$REPLACE_烽 +$REPLACE_焉 +$REPLACE_焊 +$REPLACE_焕 +$REPLACE_焖 +$REPLACE_焗 +$REPLACE_焘 +$REPLACE_焙 +$REPLACE_焚 +$REPLACE_焜 +$REPLACE_無 +$REPLACE_焦 +$REPLACE_焯 +$REPLACE_焰 +$REPLACE_焱 +$REPLACE_然 +$REPLACE_焼 +$REPLACE_煅 +$REPLACE_煉 +$REPLACE_煊 +$REPLACE_煌 +$REPLACE_煎 +$REPLACE_煒 +$REPLACE_煖 +$REPLACE_煙 +$REPLACE_煜 +$REPLACE_煞 +$REPLACE_煤 +$REPLACE_煥 +$REPLACE_煦 +$REPLACE_照 +$REPLACE_煨 +$REPLACE_煩 +$REPLACE_煮 +$REPLACE_煲 +$REPLACE_煸 +$REPLACE_煽 +$REPLACE_熄 +$REPLACE_熊 +$REPLACE_熏 +$REPLACE_熒 +$REPLACE_熔 +$REPLACE_熙 +$REPLACE_熟 +$REPLACE_熠 +$REPLACE_熨 +$REPLACE_熬 +$REPLACE_熱 +$REPLACE_熵 +$REPLACE_熹 +$REPLACE_熾 +$REPLACE_燁 +$REPLACE_燃 +$REPLACE_燄 +$REPLACE_燈 +$REPLACE_燉 +$REPLACE_燊 +$REPLACE_燎 +$REPLACE_燒 +$REPLACE_燔 +$REPLACE_燕 +$REPLACE_燙 +$REPLACE_燜 +$REPLACE_營 +$REPLACE_燥 +$REPLACE_燦 +$REPLACE_燧 +$REPLACE_燭 +$REPLACE_燮 +$REPLACE_燴 +$REPLACE_燻 +$REPLACE_燼 +$REPLACE_燿 +$REPLACE_爆 +$REPLACE_爍 +$REPLACE_爐 +$REPLACE_爛 +$REPLACE_爪 +$REPLACE_爬 +$REPLACE_爭 +$REPLACE_爰 +$REPLACE_爱 +$REPLACE_爲 +$REPLACE_爵 +$REPLACE_父 +$REPLACE_爷 +$REPLACE_爸 +$REPLACE_爹 +$REPLACE_爺 +$REPLACE_爻 +$REPLACE_爽 +$REPLACE_爾 +$REPLACE_牆 +$REPLACE_片 +$REPLACE_版 +$REPLACE_牌 +$REPLACE_牍 +$REPLACE_牒 +$REPLACE_牙 +$REPLACE_牛 +$REPLACE_牝 +$REPLACE_牟 +$REPLACE_牠 +$REPLACE_牡 +$REPLACE_牢 +$REPLACE_牦 +$REPLACE_牧 +$REPLACE_物 +$REPLACE_牯 +$REPLACE_牲 +$REPLACE_牴 +$REPLACE_牵 +$REPLACE_特 +$REPLACE_牺 +$REPLACE_牽 +$REPLACE_犀 +$REPLACE_犁 +$REPLACE_犄 +$REPLACE_犊 +$REPLACE_犍 +$REPLACE_犒 +$REPLACE_犢 +$REPLACE_犧 +$REPLACE_犬 +$REPLACE_犯 +$REPLACE_状 +$REPLACE_犷 +$REPLACE_犸 +$REPLACE_犹 +$REPLACE_狀 +$REPLACE_狂 +$REPLACE_狄 +$REPLACE_狈 +$REPLACE_狎 +$REPLACE_狐 +$REPLACE_狒 +$REPLACE_狗 +$REPLACE_狙 +$REPLACE_狞 +$REPLACE_狠 +$REPLACE_狡 +$REPLACE_狩 +$REPLACE_独 +$REPLACE_狭 +$REPLACE_狮 +$REPLACE_狰 +$REPLACE_狱 +$REPLACE_狸 +$REPLACE_狹 +$REPLACE_狼 +$REPLACE_狽 +$REPLACE_猎 +$REPLACE_猕 +$REPLACE_猖 +$REPLACE_猗 +$REPLACE_猙 +$REPLACE_猛 +$REPLACE_猜 +$REPLACE_猝 +$REPLACE_猥 +$REPLACE_猩 +$REPLACE_猪 +$REPLACE_猫 +$REPLACE_猬 +$REPLACE_献 +$REPLACE_猴 +$REPLACE_猶 +$REPLACE_猷 +$REPLACE_猾 +$REPLACE_猿 +$REPLACE_獄 +$REPLACE_獅 +$REPLACE_獎 +$REPLACE_獐 +$REPLACE_獒 +$REPLACE_獗 +$REPLACE_獠 +$REPLACE_獣 +$REPLACE_獨 +$REPLACE_獭 +$REPLACE_獰 +$REPLACE_獲 +$REPLACE_獵 +$REPLACE_獷 +$REPLACE_獸 +$REPLACE_獺 +$REPLACE_獻 +$REPLACE_獼 +$REPLACE_獾 +$REPLACE_玄 +$REPLACE_率 +$REPLACE_玉 +$REPLACE_王 +$REPLACE_玑 +$REPLACE_玖 +$REPLACE_玛 +$REPLACE_玟 +$REPLACE_玠 +$REPLACE_玥 +$REPLACE_玩 +$REPLACE_玫 +$REPLACE_玮 +$REPLACE_环 +$REPLACE_现 +$REPLACE_玲 +$REPLACE_玳 +$REPLACE_玷 +$REPLACE_玺 +$REPLACE_玻 +$REPLACE_珀 +$REPLACE_珂 +$REPLACE_珅 +$REPLACE_珈 +$REPLACE_珉 +$REPLACE_珊 +$REPLACE_珍 +$REPLACE_珏 +$REPLACE_珐 +$REPLACE_珑 +$REPLACE_珙 +$REPLACE_珞 +$REPLACE_珠 +$REPLACE_珣 +$REPLACE_珥 +$REPLACE_珩 +$REPLACE_珪 +$REPLACE_班 +$REPLACE_珮 +$REPLACE_珲 +$REPLACE_珺 +$REPLACE_現 +$REPLACE_球 +$REPLACE_琅 +$REPLACE_理 +$REPLACE_琇 +$REPLACE_琉 +$REPLACE_琊 +$REPLACE_琍 +$REPLACE_琏 +$REPLACE_琐 +$REPLACE_琛 +$REPLACE_琢 +$REPLACE_琥 +$REPLACE_琦 +$REPLACE_琨 +$REPLACE_琪 +$REPLACE_琬 +$REPLACE_琮 +$REPLACE_琰 +$REPLACE_琲 +$REPLACE_琳 +$REPLACE_琴 +$REPLACE_琵 +$REPLACE_琶 +$REPLACE_琺 +$REPLACE_琼 +$REPLACE_瑀 +$REPLACE_瑁 +$REPLACE_瑄 +$REPLACE_瑋 +$REPLACE_瑕 +$REPLACE_瑗 +$REPLACE_瑙 +$REPLACE_瑚 +$REPLACE_瑛 +$REPLACE_瑜 +$REPLACE_瑞 +$REPLACE_瑟 +$REPLACE_瑠 +$REPLACE_瑣 +$REPLACE_瑤 +$REPLACE_瑩 +$REPLACE_瑪 +$REPLACE_瑯 +$REPLACE_瑰 +$REPLACE_瑶 +$REPLACE_瑾 +$REPLACE_璀 +$REPLACE_璁 +$REPLACE_璃 +$REPLACE_璇 +$REPLACE_璉 +$REPLACE_璋 +$REPLACE_璎 +$REPLACE_璐 +$REPLACE_璜 +$REPLACE_璞 +$REPLACE_璟 +$REPLACE_璧 +$REPLACE_璨 +$REPLACE_環 +$REPLACE_璽 +$REPLACE_璿 +$REPLACE_瓊 +$REPLACE_瓏 +$REPLACE_瓒 +$REPLACE_瓜 +$REPLACE_瓢 +$REPLACE_瓣 +$REPLACE_瓤 +$REPLACE_瓦 +$REPLACE_瓮 +$REPLACE_瓯 +$REPLACE_瓴 +$REPLACE_瓶 +$REPLACE_瓷 +$REPLACE_甄 +$REPLACE_甌 +$REPLACE_甕 +$REPLACE_甘 +$REPLACE_甙 +$REPLACE_甚 +$REPLACE_甜 +$REPLACE_生 +$REPLACE_產 +$REPLACE_産 +$REPLACE_甥 +$REPLACE_甦 +$REPLACE_用 +$REPLACE_甩 +$REPLACE_甫 +$REPLACE_甬 +$REPLACE_甭 +$REPLACE_甯 +$REPLACE_田 +$REPLACE_由 +$REPLACE_甲 +$REPLACE_申 +$REPLACE_电 +$REPLACE_男 +$REPLACE_甸 +$REPLACE_町 +$REPLACE_画 +$REPLACE_甾 +$REPLACE_畀 +$REPLACE_畅 +$REPLACE_界 +$REPLACE_畏 +$REPLACE_畑 +$REPLACE_畔 +$REPLACE_留 +$REPLACE_畜 +$REPLACE_畝 +$REPLACE_畢 +$REPLACE_略 +$REPLACE_畦 +$REPLACE_番 +$REPLACE_畫 +$REPLACE_異 +$REPLACE_畲 +$REPLACE_畳 +$REPLACE_畴 +$REPLACE_當 +$REPLACE_畸 +$REPLACE_畹 +$REPLACE_畿 +$REPLACE_疆 +$REPLACE_疇 +$REPLACE_疊 +$REPLACE_疏 +$REPLACE_疑 +$REPLACE_疔 +$REPLACE_疖 +$REPLACE_疗 +$REPLACE_疙 +$REPLACE_疚 +$REPLACE_疝 +$REPLACE_疟 +$REPLACE_疡 +$REPLACE_疣 +$REPLACE_疤 +$REPLACE_疥 +$REPLACE_疫 +$REPLACE_疮 +$REPLACE_疯 +$REPLACE_疱 +$REPLACE_疲 +$REPLACE_疳 +$REPLACE_疵 +$REPLACE_疸 +$REPLACE_疹 +$REPLACE_疼 +$REPLACE_疽 +$REPLACE_疾 +$REPLACE_痂 +$REPLACE_病 +$REPLACE_症 +$REPLACE_痈 +$REPLACE_痉 +$REPLACE_痊 +$REPLACE_痍 +$REPLACE_痒 +$REPLACE_痔 +$REPLACE_痕 +$REPLACE_痘 +$REPLACE_痙 +$REPLACE_痛 +$REPLACE_痞 +$REPLACE_痠 +$REPLACE_痢 +$REPLACE_痣 +$REPLACE_痤 +$REPLACE_痧 +$REPLACE_痨 +$REPLACE_痪 +$REPLACE_痫 +$REPLACE_痰 +$REPLACE_痱 +$REPLACE_痴 +$REPLACE_痹 +$REPLACE_痺 +$REPLACE_痼 +$REPLACE_痿 +$REPLACE_瘀 +$REPLACE_瘁 +$REPLACE_瘋 +$REPLACE_瘍 +$REPLACE_瘓 +$REPLACE_瘘 +$REPLACE_瘙 +$REPLACE_瘟 +$REPLACE_瘠 +$REPLACE_瘡 +$REPLACE_瘢 +$REPLACE_瘤 +$REPLACE_瘦 +$REPLACE_瘧 +$REPLACE_瘩 +$REPLACE_瘪 +$REPLACE_瘫 +$REPLACE_瘴 +$REPLACE_瘸 +$REPLACE_瘾 +$REPLACE_療 +$REPLACE_癇 +$REPLACE_癌 +$REPLACE_癒 +$REPLACE_癖 +$REPLACE_癜 +$REPLACE_癞 +$REPLACE_癡 +$REPLACE_癢 +$REPLACE_癣 +$REPLACE_癥 +$REPLACE_癫 +$REPLACE_癬 +$REPLACE_癮 +$REPLACE_癱 +$REPLACE_癲 +$REPLACE_癸 +$REPLACE_発 +$REPLACE_登 +$REPLACE_發 +$REPLACE_白 +$REPLACE_百 +$REPLACE_皂 +$REPLACE_的 +$REPLACE_皆 +$REPLACE_皇 +$REPLACE_皈 +$REPLACE_皋 +$REPLACE_皎 +$REPLACE_皑 +$REPLACE_皓 +$REPLACE_皖 +$REPLACE_皙 +$REPLACE_皚 +$REPLACE_皮 +$REPLACE_皰 +$REPLACE_皱 +$REPLACE_皴 +$REPLACE_皺 +$REPLACE_皿 +$REPLACE_盂 +$REPLACE_盃 +$REPLACE_盅 +$REPLACE_盆 +$REPLACE_盈 +$REPLACE_益 +$REPLACE_盎 +$REPLACE_盏 +$REPLACE_盐 +$REPLACE_监 +$REPLACE_盒 +$REPLACE_盔 +$REPLACE_盖 +$REPLACE_盗 +$REPLACE_盘 +$REPLACE_盛 +$REPLACE_盜 +$REPLACE_盞 +$REPLACE_盟 +$REPLACE_盡 +$REPLACE_監 +$REPLACE_盤 +$REPLACE_盥 +$REPLACE_盧 +$REPLACE_盪 +$REPLACE_目 +$REPLACE_盯 +$REPLACE_盱 +$REPLACE_盲 +$REPLACE_直 +$REPLACE_相 +$REPLACE_盹 +$REPLACE_盼 +$REPLACE_盾 +$REPLACE_省 +$REPLACE_眈 +$REPLACE_眉 +$REPLACE_看 +$REPLACE_県 +$REPLACE_眙 +$REPLACE_眞 +$REPLACE_真 +$REPLACE_眠 +$REPLACE_眦 +$REPLACE_眨 +$REPLACE_眩 +$REPLACE_眯 +$REPLACE_眶 +$REPLACE_眷 +$REPLACE_眸 +$REPLACE_眺 +$REPLACE_眼 +$REPLACE_眾 +$REPLACE_着 +$REPLACE_睁 +$REPLACE_睇 +$REPLACE_睏 +$REPLACE_睐 +$REPLACE_睑 +$REPLACE_睛 +$REPLACE_睜 +$REPLACE_睞 +$REPLACE_睡 +$REPLACE_睢 +$REPLACE_督 +$REPLACE_睥 +$REPLACE_睦 +$REPLACE_睨 +$REPLACE_睪 +$REPLACE_睫 +$REPLACE_睬 +$REPLACE_睹 +$REPLACE_睽 +$REPLACE_睾 +$REPLACE_睿 +$REPLACE_瞄 +$REPLACE_瞅 +$REPLACE_瞇 +$REPLACE_瞋 +$REPLACE_瞌 +$REPLACE_瞎 +$REPLACE_瞑 +$REPLACE_瞒 +$REPLACE_瞓 +$REPLACE_瞞 +$REPLACE_瞟 +$REPLACE_瞠 +$REPLACE_瞥 +$REPLACE_瞧 +$REPLACE_瞩 +$REPLACE_瞪 +$REPLACE_瞬 +$REPLACE_瞭 +$REPLACE_瞰 +$REPLACE_瞳 +$REPLACE_瞻 +$REPLACE_瞼 +$REPLACE_瞿 +$REPLACE_矇 +$REPLACE_矍 +$REPLACE_矗 +$REPLACE_矚 +$REPLACE_矛 +$REPLACE_矜 +$REPLACE_矢 +$REPLACE_矣 +$REPLACE_知 +$REPLACE_矩 +$REPLACE_矫 +$REPLACE_短 +$REPLACE_矮 +$REPLACE_矯 +$REPLACE_石 +$REPLACE_矶 +$REPLACE_矽 +$REPLACE_矾 +$REPLACE_矿 +$REPLACE_码 +$REPLACE_砂 +$REPLACE_砌 +$REPLACE_砍 +$REPLACE_砒 +$REPLACE_研 +$REPLACE_砖 +$REPLACE_砗 +$REPLACE_砚 +$REPLACE_砝 +$REPLACE_砣 +$REPLACE_砥 +$REPLACE_砧 +$REPLACE_砭 +$REPLACE_砰 +$REPLACE_砲 +$REPLACE_破 +$REPLACE_砷 +$REPLACE_砸 +$REPLACE_砺 +$REPLACE_砼 +$REPLACE_砾 +$REPLACE_础 +$REPLACE_硅 +$REPLACE_硐 +$REPLACE_硒 +$REPLACE_硕 +$REPLACE_硝 +$REPLACE_硫 +$REPLACE_硬 +$REPLACE_确 +$REPLACE_硯 +$REPLACE_硼 +$REPLACE_碁 +$REPLACE_碇 +$REPLACE_碉 +$REPLACE_碌 +$REPLACE_碍 +$REPLACE_碎 +$REPLACE_碑 +$REPLACE_碓 +$REPLACE_碗 +$REPLACE_碘 +$REPLACE_碚 +$REPLACE_碛 +$REPLACE_碟 +$REPLACE_碣 +$REPLACE_碧 +$REPLACE_碩 +$REPLACE_碰 +$REPLACE_碱 +$REPLACE_碳 +$REPLACE_碴 +$REPLACE_確 +$REPLACE_碼 +$REPLACE_碾 +$REPLACE_磁 +$REPLACE_磅 +$REPLACE_磊 +$REPLACE_磋 +$REPLACE_磐 +$REPLACE_磕 +$REPLACE_磚 +$REPLACE_磡 +$REPLACE_磨 +$REPLACE_磬 +$REPLACE_磯 +$REPLACE_磲 +$REPLACE_磷 +$REPLACE_磺 +$REPLACE_礁 +$REPLACE_礎 +$REPLACE_礙 +$REPLACE_礡 +$REPLACE_礦 +$REPLACE_礪 +$REPLACE_礫 +$REPLACE_礴 +$REPLACE_示 +$REPLACE_礼 +$REPLACE_社 +$REPLACE_祀 +$REPLACE_祁 +$REPLACE_祂 +$REPLACE_祇 +$REPLACE_祈 +$REPLACE_祉 +$REPLACE_祎 +$REPLACE_祐 +$REPLACE_祕 +$REPLACE_祖 +$REPLACE_祗 +$REPLACE_祚 +$REPLACE_祛 +$REPLACE_祜 +$REPLACE_祝 +$REPLACE_神 +$REPLACE_祟 +$REPLACE_祠 +$REPLACE_祢 +$REPLACE_祥 +$REPLACE_票 +$REPLACE_祭 +$REPLACE_祯 +$REPLACE_祷 +$REPLACE_祸 +$REPLACE_祺 +$REPLACE_祿 +$REPLACE_禀 +$REPLACE_禁 +$REPLACE_禄 +$REPLACE_禅 +$REPLACE_禍 +$REPLACE_禎 +$REPLACE_福 +$REPLACE_禛 +$REPLACE_禦 +$REPLACE_禧 +$REPLACE_禪 +$REPLACE_禮 +$REPLACE_禱 +$REPLACE_禹 +$REPLACE_禺 +$REPLACE_离 +$REPLACE_禽 +$REPLACE_禾 +$REPLACE_禿 +$REPLACE_秀 +$REPLACE_私 +$REPLACE_秃 +$REPLACE_秆 +$REPLACE_秉 +$REPLACE_秋 +$REPLACE_种 +$REPLACE_科 +$REPLACE_秒 +$REPLACE_秘 +$REPLACE_租 +$REPLACE_秣 +$REPLACE_秤 +$REPLACE_秦 +$REPLACE_秧 +$REPLACE_秩 +$REPLACE_秭 +$REPLACE_积 +$REPLACE_称 +$REPLACE_秸 +$REPLACE_移 +$REPLACE_秽 +$REPLACE_稀 +$REPLACE_稅 +$REPLACE_程 +$REPLACE_稍 +$REPLACE_税 +$REPLACE_稔 +$REPLACE_稗 +$REPLACE_稚 +$REPLACE_稜 +$REPLACE_稞 +$REPLACE_稟 +$REPLACE_稠 +$REPLACE_稣 +$REPLACE_種 +$REPLACE_稱 +$REPLACE_稲 +$REPLACE_稳 +$REPLACE_稷 +$REPLACE_稹 +$REPLACE_稻 +$REPLACE_稼 +$REPLACE_稽 +$REPLACE_稿 +$REPLACE_穀 +$REPLACE_穂 +$REPLACE_穆 +$REPLACE_穌 +$REPLACE_積 +$REPLACE_穎 +$REPLACE_穗 +$REPLACE_穢 +$REPLACE_穩 +$REPLACE_穫 +$REPLACE_穴 +$REPLACE_究 +$REPLACE_穷 +$REPLACE_穹 +$REPLACE_空 +$REPLACE_穿 +$REPLACE_突 +$REPLACE_窃 +$REPLACE_窄 +$REPLACE_窈 +$REPLACE_窍 +$REPLACE_窑 +$REPLACE_窒 +$REPLACE_窓 +$REPLACE_窕 +$REPLACE_窖 +$REPLACE_窗 +$REPLACE_窘 +$REPLACE_窜 +$REPLACE_窝 +$REPLACE_窟 +$REPLACE_窠 +$REPLACE_窥 +$REPLACE_窦 +$REPLACE_窨 +$REPLACE_窩 +$REPLACE_窪 +$REPLACE_窮 +$REPLACE_窯 +$REPLACE_窺 +$REPLACE_窿 +$REPLACE_竄 +$REPLACE_竅 +$REPLACE_竇 +$REPLACE_竊 +$REPLACE_立 +$REPLACE_竖 +$REPLACE_站 +$REPLACE_竜 +$REPLACE_竞 +$REPLACE_竟 +$REPLACE_章 +$REPLACE_竣 +$REPLACE_童 +$REPLACE_竭 +$REPLACE_端 +$REPLACE_競 +$REPLACE_竹 +$REPLACE_竺 +$REPLACE_竽 +$REPLACE_竿 +$REPLACE_笃 +$REPLACE_笆 +$REPLACE_笈 +$REPLACE_笋 +$REPLACE_笏 +$REPLACE_笑 +$REPLACE_笔 +$REPLACE_笙 +$REPLACE_笛 +$REPLACE_笞 +$REPLACE_笠 +$REPLACE_符 +$REPLACE_笨 +$REPLACE_第 +$REPLACE_笹 +$REPLACE_笺 +$REPLACE_笼 +$REPLACE_筆 +$REPLACE_等 +$REPLACE_筊 +$REPLACE_筋 +$REPLACE_筍 +$REPLACE_筏 +$REPLACE_筐 +$REPLACE_筑 +$REPLACE_筒 +$REPLACE_答 +$REPLACE_策 +$REPLACE_筛 +$REPLACE_筝 +$REPLACE_筠 +$REPLACE_筱 +$REPLACE_筲 +$REPLACE_筵 +$REPLACE_筷 +$REPLACE_筹 +$REPLACE_签 +$REPLACE_简 +$REPLACE_箇 +$REPLACE_箋 +$REPLACE_箍 +$REPLACE_箏 +$REPLACE_箐 +$REPLACE_箔 +$REPLACE_箕 +$REPLACE_算 +$REPLACE_箝 +$REPLACE_管 +$REPLACE_箩 +$REPLACE_箫 +$REPLACE_箭 +$REPLACE_箱 +$REPLACE_箴 +$REPLACE_箸 +$REPLACE_節 +$REPLACE_篁 +$REPLACE_範 +$REPLACE_篆 +$REPLACE_篇 +$REPLACE_築 +$REPLACE_篑 +$REPLACE_篓 +$REPLACE_篙 +$REPLACE_篝 +$REPLACE_篠 +$REPLACE_篡 +$REPLACE_篤 +$REPLACE_篩 +$REPLACE_篪 +$REPLACE_篮 +$REPLACE_篱 +$REPLACE_篷 +$REPLACE_簇 +$REPLACE_簌 +$REPLACE_簍 +$REPLACE_簡 +$REPLACE_簦 +$REPLACE_簧 +$REPLACE_簪 +$REPLACE_簫 +$REPLACE_簷 +$REPLACE_簸 +$REPLACE_簽 +$REPLACE_簾 +$REPLACE_簿 +$REPLACE_籁 +$REPLACE_籃 +$REPLACE_籌 +$REPLACE_籍 +$REPLACE_籐 +$REPLACE_籟 +$REPLACE_籠 +$REPLACE_籤 +$REPLACE_籬 +$REPLACE_籮 +$REPLACE_籲 +$REPLACE_米 +$REPLACE_类 +$REPLACE_籼 +$REPLACE_籽 +$REPLACE_粄 +$REPLACE_粉 +$REPLACE_粑 +$REPLACE_粒 +$REPLACE_粕 +$REPLACE_粗 +$REPLACE_粘 +$REPLACE_粟 +$REPLACE_粤 +$REPLACE_粥 +$REPLACE_粧 +$REPLACE_粪 +$REPLACE_粮 +$REPLACE_粱 +$REPLACE_粲 +$REPLACE_粳 +$REPLACE_粵 +$REPLACE_粹 +$REPLACE_粼 +$REPLACE_粽 +$REPLACE_精 +$REPLACE_粿 +$REPLACE_糅 +$REPLACE_糊 +$REPLACE_糍 +$REPLACE_糕 +$REPLACE_糖 +$REPLACE_糗 +$REPLACE_糙 +$REPLACE_糜 +$REPLACE_糞 +$REPLACE_糟 +$REPLACE_糠 +$REPLACE_糧 +$REPLACE_糬 +$REPLACE_糯 +$REPLACE_糰 +$REPLACE_糸 +$REPLACE_系 +$REPLACE_糾 +$REPLACE_紀 +$REPLACE_紂 +$REPLACE_約 +$REPLACE_紅 +$REPLACE_紉 +$REPLACE_紊 +$REPLACE_紋 +$REPLACE_納 +$REPLACE_紐 +$REPLACE_紓 +$REPLACE_純 +$REPLACE_紗 +$REPLACE_紘 +$REPLACE_紙 +$REPLACE_級 +$REPLACE_紛 +$REPLACE_紜 +$REPLACE_素 +$REPLACE_紡 +$REPLACE_索 +$REPLACE_紧 +$REPLACE_紫 +$REPLACE_紮 +$REPLACE_累 +$REPLACE_細 +$REPLACE_紳 +$REPLACE_紹 +$REPLACE_紺 +$REPLACE_終 +$REPLACE_絃 +$REPLACE_組 +$REPLACE_絆 +$REPLACE_経 +$REPLACE_結 +$REPLACE_絕 +$REPLACE_絞 +$REPLACE_絡 +$REPLACE_絢 +$REPLACE_給 +$REPLACE_絨 +$REPLACE_絮 +$REPLACE_統 +$REPLACE_絲 +$REPLACE_絳 +$REPLACE_絵 +$REPLACE_絶 +$REPLACE_絹 +$REPLACE_綁 +$REPLACE_綏 +$REPLACE_綑 +$REPLACE_經 +$REPLACE_継 +$REPLACE_続 +$REPLACE_綜 +$REPLACE_綠 +$REPLACE_綢 +$REPLACE_綦 +$REPLACE_綫 +$REPLACE_綬 +$REPLACE_維 +$REPLACE_綱 +$REPLACE_網 +$REPLACE_綴 +$REPLACE_綵 +$REPLACE_綸 +$REPLACE_綺 +$REPLACE_綻 +$REPLACE_綽 +$REPLACE_綾 +$REPLACE_綿 +$REPLACE_緊 +$REPLACE_緋 +$REPLACE_総 +$REPLACE_緑 +$REPLACE_緒 +$REPLACE_緘 +$REPLACE_線 +$REPLACE_緝 +$REPLACE_緞 +$REPLACE_締 +$REPLACE_緣 +$REPLACE_編 +$REPLACE_緩 +$REPLACE_緬 +$REPLACE_緯 +$REPLACE_練 +$REPLACE_緹 +$REPLACE_緻 +$REPLACE_縁 +$REPLACE_縄 +$REPLACE_縈 +$REPLACE_縛 +$REPLACE_縝 +$REPLACE_縣 +$REPLACE_縫 +$REPLACE_縮 +$REPLACE_縱 +$REPLACE_縴 +$REPLACE_縷 +$REPLACE_總 +$REPLACE_績 +$REPLACE_繁 +$REPLACE_繃 +$REPLACE_繆 +$REPLACE_繇 +$REPLACE_繋 +$REPLACE_織 +$REPLACE_繕 +$REPLACE_繚 +$REPLACE_繞 +$REPLACE_繡 +$REPLACE_繩 +$REPLACE_繪 +$REPLACE_繫 +$REPLACE_繭 +$REPLACE_繳 +$REPLACE_繹 +$REPLACE_繼 +$REPLACE_繽 +$REPLACE_纂 +$REPLACE_續 +$REPLACE_纍 +$REPLACE_纏 +$REPLACE_纓 +$REPLACE_纔 +$REPLACE_纖 +$REPLACE_纜 +$REPLACE_纠 +$REPLACE_红 +$REPLACE_纣 +$REPLACE_纤 +$REPLACE_约 +$REPLACE_级 +$REPLACE_纨 +$REPLACE_纪 +$REPLACE_纫 +$REPLACE_纬 +$REPLACE_纭 +$REPLACE_纯 +$REPLACE_纰 +$REPLACE_纱 +$REPLACE_纲 +$REPLACE_纳 +$REPLACE_纵 +$REPLACE_纶 +$REPLACE_纷 +$REPLACE_纸 +$REPLACE_纹 +$REPLACE_纺 +$REPLACE_纽 +$REPLACE_纾 +$REPLACE_线 +$REPLACE_绀 +$REPLACE_练 +$REPLACE_组 +$REPLACE_绅 +$REPLACE_细 +$REPLACE_织 +$REPLACE_终 +$REPLACE_绊 +$REPLACE_绍 +$REPLACE_绎 +$REPLACE_经 +$REPLACE_绑 +$REPLACE_绒 +$REPLACE_结 +$REPLACE_绔 +$REPLACE_绕 +$REPLACE_绘 +$REPLACE_给 +$REPLACE_绚 +$REPLACE_绛 +$REPLACE_络 +$REPLACE_绝 +$REPLACE_绞 +$REPLACE_统 +$REPLACE_绡 +$REPLACE_绢 +$REPLACE_绣 +$REPLACE_绥 +$REPLACE_绦 +$REPLACE_继 +$REPLACE_绩 +$REPLACE_绪 +$REPLACE_绫 +$REPLACE_续 +$REPLACE_绮 +$REPLACE_绯 +$REPLACE_绰 +$REPLACE_绳 +$REPLACE_维 +$REPLACE_绵 +$REPLACE_绶 +$REPLACE_绷 +$REPLACE_绸 +$REPLACE_绻 +$REPLACE_综 +$REPLACE_绽 +$REPLACE_绾 +$REPLACE_绿 +$REPLACE_缀 +$REPLACE_缄 +$REPLACE_缅 +$REPLACE_缆 +$REPLACE_缇 +$REPLACE_缈 +$REPLACE_缉 +$REPLACE_缎 +$REPLACE_缓 +$REPLACE_缔 +$REPLACE_缕 +$REPLACE_编 +$REPLACE_缘 +$REPLACE_缙 +$REPLACE_缚 +$REPLACE_缜 +$REPLACE_缝 +$REPLACE_缠 +$REPLACE_缢 +$REPLACE_缤 +$REPLACE_缥 +$REPLACE_缨 +$REPLACE_缩 +$REPLACE_缪 +$REPLACE_缭 +$REPLACE_缮 +$REPLACE_缰 +$REPLACE_缱 +$REPLACE_缴 +$REPLACE_缸 +$REPLACE_缺 +$REPLACE_缽 +$REPLACE_罂 +$REPLACE_罄 +$REPLACE_罌 +$REPLACE_罐 +$REPLACE_网 +$REPLACE_罔 +$REPLACE_罕 +$REPLACE_罗 +$REPLACE_罚 +$REPLACE_罡 +$REPLACE_罢 +$REPLACE_罩 +$REPLACE_罪 +$REPLACE_置 +$REPLACE_罰 +$REPLACE_署 +$REPLACE_罵 +$REPLACE_罷 +$REPLACE_罹 +$REPLACE_羁 +$REPLACE_羅 +$REPLACE_羈 +$REPLACE_羊 +$REPLACE_羌 +$REPLACE_美 +$REPLACE_羔 +$REPLACE_羚 +$REPLACE_羞 +$REPLACE_羟 +$REPLACE_羡 +$REPLACE_羣 +$REPLACE_群 +$REPLACE_羥 +$REPLACE_羧 +$REPLACE_羨 +$REPLACE_義 +$REPLACE_羯 +$REPLACE_羲 +$REPLACE_羸 +$REPLACE_羹 +$REPLACE_羽 +$REPLACE_羿 +$REPLACE_翁 +$REPLACE_翅 +$REPLACE_翊 +$REPLACE_翌 +$REPLACE_翎 +$REPLACE_習 +$REPLACE_翔 +$REPLACE_翘 +$REPLACE_翟 +$REPLACE_翠 +$REPLACE_翡 +$REPLACE_翦 +$REPLACE_翩 +$REPLACE_翰 +$REPLACE_翱 +$REPLACE_翳 +$REPLACE_翹 +$REPLACE_翻 +$REPLACE_翼 +$REPLACE_耀 +$REPLACE_老 +$REPLACE_考 +$REPLACE_耄 +$REPLACE_者 +$REPLACE_耆 +$REPLACE_耋 +$REPLACE_而 +$REPLACE_耍 +$REPLACE_耐 +$REPLACE_耒 +$REPLACE_耕 +$REPLACE_耗 +$REPLACE_耘 +$REPLACE_耙 +$REPLACE_耦 +$REPLACE_耨 +$REPLACE_耳 +$REPLACE_耶 +$REPLACE_耷 +$REPLACE_耸 +$REPLACE_耻 +$REPLACE_耽 +$REPLACE_耿 +$REPLACE_聂 +$REPLACE_聆 +$REPLACE_聊 +$REPLACE_聋 +$REPLACE_职 +$REPLACE_聒 +$REPLACE_联 +$REPLACE_聖 +$REPLACE_聘 +$REPLACE_聚 +$REPLACE_聞 +$REPLACE_聪 +$REPLACE_聯 +$REPLACE_聰 +$REPLACE_聲 +$REPLACE_聳 +$REPLACE_聴 +$REPLACE_聶 +$REPLACE_職 +$REPLACE_聽 +$REPLACE_聾 +$REPLACE_聿 +$REPLACE_肃 +$REPLACE_肄 +$REPLACE_肅 +$REPLACE_肆 +$REPLACE_肇 +$REPLACE_肉 +$REPLACE_肋 +$REPLACE_肌 +$REPLACE_肏 +$REPLACE_肓 +$REPLACE_肖 +$REPLACE_肘 +$REPLACE_肚 +$REPLACE_肛 +$REPLACE_肝 +$REPLACE_肠 +$REPLACE_股 +$REPLACE_肢 +$REPLACE_肤 +$REPLACE_肥 +$REPLACE_肩 +$REPLACE_肪 +$REPLACE_肮 +$REPLACE_肯 +$REPLACE_肱 +$REPLACE_育 +$REPLACE_肴 +$REPLACE_肺 +$REPLACE_肽 +$REPLACE_肾 +$REPLACE_肿 +$REPLACE_胀 +$REPLACE_胁 +$REPLACE_胃 +$REPLACE_胄 +$REPLACE_胆 +$REPLACE_背 +$REPLACE_胍 +$REPLACE_胎 +$REPLACE_胖 +$REPLACE_胚 +$REPLACE_胛 +$REPLACE_胜 +$REPLACE_胝 +$REPLACE_胞 +$REPLACE_胡 +$REPLACE_胤 +$REPLACE_胥 +$REPLACE_胧 +$REPLACE_胫 +$REPLACE_胭 +$REPLACE_胯 +$REPLACE_胰 +$REPLACE_胱 +$REPLACE_胳 +$REPLACE_胴 +$REPLACE_胶 +$REPLACE_胸 +$REPLACE_胺 +$REPLACE_能 +$REPLACE_脂 +$REPLACE_脅 +$REPLACE_脆 +$REPLACE_脇 +$REPLACE_脈 +$REPLACE_脉 +$REPLACE_脊 +$REPLACE_脍 +$REPLACE_脏 +$REPLACE_脐 +$REPLACE_脑 +$REPLACE_脓 +$REPLACE_脖 +$REPLACE_脘 +$REPLACE_脚 +$REPLACE_脛 +$REPLACE_脣 +$REPLACE_脩 +$REPLACE_脫 +$REPLACE_脯 +$REPLACE_脱 +$REPLACE_脲 +$REPLACE_脳 +$REPLACE_脸 +$REPLACE_脹 +$REPLACE_脾 +$REPLACE_腆 +$REPLACE_腈 +$REPLACE_腊 +$REPLACE_腋 +$REPLACE_腌 +$REPLACE_腎 +$REPLACE_腐 +$REPLACE_腑 +$REPLACE_腓 +$REPLACE_腔 +$REPLACE_腕 +$REPLACE_腥 +$REPLACE_腦 +$REPLACE_腩 +$REPLACE_腫 +$REPLACE_腭 +$REPLACE_腮 +$REPLACE_腰 +$REPLACE_腱 +$REPLACE_腳 +$REPLACE_腴 +$REPLACE_腸 +$REPLACE_腹 +$REPLACE_腺 +$REPLACE_腻 +$REPLACE_腼 +$REPLACE_腾 +$REPLACE_腿 +$REPLACE_膀 +$REPLACE_膈 +$REPLACE_膊 +$REPLACE_膏 +$REPLACE_膑 +$REPLACE_膘 +$REPLACE_膚 +$REPLACE_膛 +$REPLACE_膜 +$REPLACE_膝 +$REPLACE_膠 +$REPLACE_膦 +$REPLACE_膨 +$REPLACE_膩 +$REPLACE_膳 +$REPLACE_膺 +$REPLACE_膻 +$REPLACE_膽 +$REPLACE_膾 +$REPLACE_膿 +$REPLACE_臀 +$REPLACE_臂 +$REPLACE_臃 +$REPLACE_臆 +$REPLACE_臉 +$REPLACE_臊 +$REPLACE_臍 +$REPLACE_臓 +$REPLACE_臘 +$REPLACE_臟 +$REPLACE_臣 +$REPLACE_臥 +$REPLACE_臧 +$REPLACE_臨 +$REPLACE_自 +$REPLACE_臬 +$REPLACE_臭 +$REPLACE_至 +$REPLACE_致 +$REPLACE_臺 +$REPLACE_臻 +$REPLACE_臼 +$REPLACE_臾 +$REPLACE_舀 +$REPLACE_舂 +$REPLACE_舅 +$REPLACE_舆 +$REPLACE_與 +$REPLACE_興 +$REPLACE_舉 +$REPLACE_舊 +$REPLACE_舌 +$REPLACE_舍 +$REPLACE_舎 +$REPLACE_舐 +$REPLACE_舒 +$REPLACE_舔 +$REPLACE_舖 +$REPLACE_舗 +$REPLACE_舛 +$REPLACE_舜 +$REPLACE_舞 +$REPLACE_舟 +$REPLACE_航 +$REPLACE_舫 +$REPLACE_般 +$REPLACE_舰 +$REPLACE_舱 +$REPLACE_舵 +$REPLACE_舶 +$REPLACE_舷 +$REPLACE_舸 +$REPLACE_船 +$REPLACE_舺 +$REPLACE_舾 +$REPLACE_艇 +$REPLACE_艋 +$REPLACE_艘 +$REPLACE_艙 +$REPLACE_艦 +$REPLACE_艮 +$REPLACE_良 +$REPLACE_艰 +$REPLACE_艱 +$REPLACE_色 +$REPLACE_艳 +$REPLACE_艷 +$REPLACE_艹 +$REPLACE_艺 +$REPLACE_艾 +$REPLACE_节 +$REPLACE_芃 +$REPLACE_芈 +$REPLACE_芊 +$REPLACE_芋 +$REPLACE_芍 +$REPLACE_芎 +$REPLACE_芒 +$REPLACE_芙 +$REPLACE_芜 +$REPLACE_芝 +$REPLACE_芡 +$REPLACE_芥 +$REPLACE_芦 +$REPLACE_芩 +$REPLACE_芪 +$REPLACE_芫 +$REPLACE_芬 +$REPLACE_芭 +$REPLACE_芮 +$REPLACE_芯 +$REPLACE_花 +$REPLACE_芳 +$REPLACE_芷 +$REPLACE_芸 +$REPLACE_芹 +$REPLACE_芻 +$REPLACE_芽 +$REPLACE_芾 +$REPLACE_苁 +$REPLACE_苄 +$REPLACE_苇 +$REPLACE_苋 +$REPLACE_苍 +$REPLACE_苏 +$REPLACE_苑 +$REPLACE_苒 +$REPLACE_苓 +$REPLACE_苔 +$REPLACE_苕 +$REPLACE_苗 +$REPLACE_苛 +$REPLACE_苜 +$REPLACE_苞 +$REPLACE_苟 +$REPLACE_苡 +$REPLACE_苣 +$REPLACE_若 +$REPLACE_苦 +$REPLACE_苫 +$REPLACE_苯 +$REPLACE_英 +$REPLACE_苷 +$REPLACE_苹 +$REPLACE_苻 +$REPLACE_茁 +$REPLACE_茂 +$REPLACE_范 +$REPLACE_茄 +$REPLACE_茅 +$REPLACE_茉 +$REPLACE_茎 +$REPLACE_茏 +$REPLACE_茗 +$REPLACE_茜 +$REPLACE_茧 +$REPLACE_茨 +$REPLACE_茫 +$REPLACE_茬 +$REPLACE_茭 +$REPLACE_茯 +$REPLACE_茱 +$REPLACE_茲 +$REPLACE_茴 +$REPLACE_茵 +$REPLACE_茶 +$REPLACE_茸 +$REPLACE_茹 +$REPLACE_茼 +$REPLACE_荀 +$REPLACE_荃 +$REPLACE_荆 +$REPLACE_草 +$REPLACE_荊 +$REPLACE_荏 +$REPLACE_荐 +$REPLACE_荒 +$REPLACE_荔 +$REPLACE_荖 +$REPLACE_荘 +$REPLACE_荚 +$REPLACE_荞 +$REPLACE_荟 +$REPLACE_荠 +$REPLACE_荡 +$REPLACE_荣 +$REPLACE_荤 +$REPLACE_荥 +$REPLACE_荧 +$REPLACE_荨 +$REPLACE_荪 +$REPLACE_荫 +$REPLACE_药 +$REPLACE_荳 +$REPLACE_荷 +$REPLACE_荸 +$REPLACE_荻 +$REPLACE_荼 +$REPLACE_荽 +$REPLACE_莅 +$REPLACE_莆 +$REPLACE_莉 +$REPLACE_莊 +$REPLACE_莎 +$REPLACE_莒 +$REPLACE_莓 +$REPLACE_莖 +$REPLACE_莘 +$REPLACE_莞 +$REPLACE_莠 +$REPLACE_莢 +$REPLACE_莧 +$REPLACE_莪 +$REPLACE_莫 +$REPLACE_莱 +$REPLACE_莲 +$REPLACE_莴 +$REPLACE_获 +$REPLACE_莹 +$REPLACE_莺 +$REPLACE_莽 +$REPLACE_莿 +$REPLACE_菀 +$REPLACE_菁 +$REPLACE_菅 +$REPLACE_菇 +$REPLACE_菈 +$REPLACE_菊 +$REPLACE_菌 +$REPLACE_菏 +$REPLACE_菓 +$REPLACE_菖 +$REPLACE_菘 +$REPLACE_菜 +$REPLACE_菟 +$REPLACE_菠 +$REPLACE_菡 +$REPLACE_菩 +$REPLACE_華 +$REPLACE_菱 +$REPLACE_菲 +$REPLACE_菸 +$REPLACE_菽 +$REPLACE_萁 +$REPLACE_萃 +$REPLACE_萄 +$REPLACE_萊 +$REPLACE_萋 +$REPLACE_萌 +$REPLACE_萍 +$REPLACE_萎 +$REPLACE_萘 +$REPLACE_萝 +$REPLACE_萤 +$REPLACE_营 +$REPLACE_萦 +$REPLACE_萧 +$REPLACE_萨 +$REPLACE_萩 +$REPLACE_萬 +$REPLACE_萱 +$REPLACE_萵 +$REPLACE_萸 +$REPLACE_萼 +$REPLACE_落 +$REPLACE_葆 +$REPLACE_葉 +$REPLACE_著 +$REPLACE_葚 +$REPLACE_葛 +$REPLACE_葡 +$REPLACE_董 +$REPLACE_葦 +$REPLACE_葩 +$REPLACE_葫 +$REPLACE_葬 +$REPLACE_葭 +$REPLACE_葯 +$REPLACE_葱 +$REPLACE_葳 +$REPLACE_葵 +$REPLACE_葷 +$REPLACE_葺 +$REPLACE_蒂 +$REPLACE_蒋 +$REPLACE_蒐 +$REPLACE_蒔 +$REPLACE_蒙 +$REPLACE_蒜 +$REPLACE_蒞 +$REPLACE_蒟 +$REPLACE_蒡 +$REPLACE_蒨 +$REPLACE_蒲 +$REPLACE_蒸 +$REPLACE_蒹 +$REPLACE_蒻 +$REPLACE_蒼 +$REPLACE_蒿 +$REPLACE_蓁 +$REPLACE_蓄 +$REPLACE_蓆 +$REPLACE_蓉 +$REPLACE_蓋 +$REPLACE_蓑 +$REPLACE_蓓 +$REPLACE_蓖 +$REPLACE_蓝 +$REPLACE_蓟 +$REPLACE_蓦 +$REPLACE_蓬 +$REPLACE_蓮 +$REPLACE_蓼 +$REPLACE_蓿 +$REPLACE_蔑 +$REPLACE_蔓 +$REPLACE_蔔 +$REPLACE_蔗 +$REPLACE_蔘 +$REPLACE_蔚 +$REPLACE_蔡 +$REPLACE_蔣 +$REPLACE_蔥 +$REPLACE_蔫 +$REPLACE_蔬 +$REPLACE_蔭 +$REPLACE_蔵 +$REPLACE_蔷 +$REPLACE_蔺 +$REPLACE_蔻 +$REPLACE_蔼 +$REPLACE_蔽 +$REPLACE_蕁 +$REPLACE_蕃 +$REPLACE_蕈 +$REPLACE_蕉 +$REPLACE_蕊 +$REPLACE_蕎 +$REPLACE_蕙 +$REPLACE_蕤 +$REPLACE_蕨 +$REPLACE_蕩 +$REPLACE_蕪 +$REPLACE_蕭 +$REPLACE_蕲 +$REPLACE_蕴 +$REPLACE_蕻 +$REPLACE_蕾 +$REPLACE_薄 +$REPLACE_薅 +$REPLACE_薇 +$REPLACE_薈 +$REPLACE_薊 +$REPLACE_薏 +$REPLACE_薑 +$REPLACE_薔 +$REPLACE_薙 +$REPLACE_薛 +$REPLACE_薦 +$REPLACE_薨 +$REPLACE_薩 +$REPLACE_薪 +$REPLACE_薬 +$REPLACE_薯 +$REPLACE_薰 +$REPLACE_薹 +$REPLACE_藉 +$REPLACE_藍 +$REPLACE_藏 +$REPLACE_藐 +$REPLACE_藓 +$REPLACE_藕 +$REPLACE_藜 +$REPLACE_藝 +$REPLACE_藤 +$REPLACE_藥 +$REPLACE_藩 +$REPLACE_藹 +$REPLACE_藻 +$REPLACE_藿 +$REPLACE_蘆 +$REPLACE_蘇 +$REPLACE_蘊 +$REPLACE_蘋 +$REPLACE_蘑 +$REPLACE_蘚 +$REPLACE_蘭 +$REPLACE_蘸 +$REPLACE_蘼 +$REPLACE_蘿 +$REPLACE_虎 +$REPLACE_虏 +$REPLACE_虐 +$REPLACE_虑 +$REPLACE_虔 +$REPLACE_處 +$REPLACE_虚 +$REPLACE_虛 +$REPLACE_虜 +$REPLACE_虞 +$REPLACE_號 +$REPLACE_虢 +$REPLACE_虧 +$REPLACE_虫 +$REPLACE_虬 +$REPLACE_虱 +$REPLACE_虹 +$REPLACE_虻 +$REPLACE_虽 +$REPLACE_虾 +$REPLACE_蚀 +$REPLACE_蚁 +$REPLACE_蚂 +$REPLACE_蚊 +$REPLACE_蚌 +$REPLACE_蚓 +$REPLACE_蚕 +$REPLACE_蚜 +$REPLACE_蚝 +$REPLACE_蚣 +$REPLACE_蚤 +$REPLACE_蚩 +$REPLACE_蚪 +$REPLACE_蚯 +$REPLACE_蚱 +$REPLACE_蚵 +$REPLACE_蛀 +$REPLACE_蛆 +$REPLACE_蛇 +$REPLACE_蛊 +$REPLACE_蛋 +$REPLACE_蛎 +$REPLACE_蛐 +$REPLACE_蛔 +$REPLACE_蛙 +$REPLACE_蛛 +$REPLACE_蛟 +$REPLACE_蛤 +$REPLACE_蛭 +$REPLACE_蛮 +$REPLACE_蛰 +$REPLACE_蛳 +$REPLACE_蛹 +$REPLACE_蛻 +$REPLACE_蛾 +$REPLACE_蜀 +$REPLACE_蜂 +$REPLACE_蜃 +$REPLACE_蜆 +$REPLACE_蜇 +$REPLACE_蜈 +$REPLACE_蜊 +$REPLACE_蜍 +$REPLACE_蜒 +$REPLACE_蜓 +$REPLACE_蜕 +$REPLACE_蜗 +$REPLACE_蜘 +$REPLACE_蜚 +$REPLACE_蜜 +$REPLACE_蜡 +$REPLACE_蜢 +$REPLACE_蜥 +$REPLACE_蜱 +$REPLACE_蜴 +$REPLACE_蜷 +$REPLACE_蜻 +$REPLACE_蜿 +$REPLACE_蝇 +$REPLACE_蝈 +$REPLACE_蝉 +$REPLACE_蝌 +$REPLACE_蝎 +$REPLACE_蝕 +$REPLACE_蝗 +$REPLACE_蝙 +$REPLACE_蝟 +$REPLACE_蝠 +$REPLACE_蝦 +$REPLACE_蝨 +$REPLACE_蝴 +$REPLACE_蝶 +$REPLACE_蝸 +$REPLACE_蝼 +$REPLACE_螂 +$REPLACE_螃 +$REPLACE_融 +$REPLACE_螞 +$REPLACE_螢 +$REPLACE_螨 +$REPLACE_螯 +$REPLACE_螳 +$REPLACE_螺 +$REPLACE_蟀 +$REPLACE_蟄 +$REPLACE_蟆 +$REPLACE_蟋 +$REPLACE_蟎 +$REPLACE_蟑 +$REPLACE_蟒 +$REPLACE_蟠 +$REPLACE_蟬 +$REPLACE_蟲 +$REPLACE_蟹 +$REPLACE_蟻 +$REPLACE_蟾 +$REPLACE_蠅 +$REPLACE_蠍 +$REPLACE_蠔 +$REPLACE_蠕 +$REPLACE_蠛 +$REPLACE_蠟 +$REPLACE_蠡 +$REPLACE_蠢 +$REPLACE_蠣 +$REPLACE_蠱 +$REPLACE_蠶 +$REPLACE_蠹 +$REPLACE_蠻 +$REPLACE_血 +$REPLACE_衄 +$REPLACE_衅 +$REPLACE_衆 +$REPLACE_行 +$REPLACE_衍 +$REPLACE_術 +$REPLACE_衔 +$REPLACE_街 +$REPLACE_衙 +$REPLACE_衛 +$REPLACE_衝 +$REPLACE_衞 +$REPLACE_衡 +$REPLACE_衢 +$REPLACE_衣 +$REPLACE_补 +$REPLACE_表 +$REPLACE_衩 +$REPLACE_衫 +$REPLACE_衬 +$REPLACE_衮 +$REPLACE_衰 +$REPLACE_衲 +$REPLACE_衷 +$REPLACE_衹 +$REPLACE_衾 +$REPLACE_衿 +$REPLACE_袁 +$REPLACE_袂 +$REPLACE_袄 +$REPLACE_袅 +$REPLACE_袈 +$REPLACE_袋 +$REPLACE_袍 +$REPLACE_袒 +$REPLACE_袖 +$REPLACE_袜 +$REPLACE_袞 +$REPLACE_袤 +$REPLACE_袪 +$REPLACE_被 +$REPLACE_袭 +$REPLACE_袱 +$REPLACE_裁 +$REPLACE_裂 +$REPLACE_装 +$REPLACE_裆 +$REPLACE_裊 +$REPLACE_裏 +$REPLACE_裔 +$REPLACE_裕 +$REPLACE_裘 +$REPLACE_裙 +$REPLACE_補 +$REPLACE_裝 +$REPLACE_裟 +$REPLACE_裡 +$REPLACE_裤 +$REPLACE_裨 +$REPLACE_裱 +$REPLACE_裳 +$REPLACE_裴 +$REPLACE_裸 +$REPLACE_裹 +$REPLACE_製 +$REPLACE_裾 +$REPLACE_褂 +$REPLACE_複 +$REPLACE_褐 +$REPLACE_褒 +$REPLACE_褓 +$REPLACE_褔 +$REPLACE_褚 +$REPLACE_褥 +$REPLACE_褪 +$REPLACE_褫 +$REPLACE_褲 +$REPLACE_褶 +$REPLACE_褻 +$REPLACE_襁 +$REPLACE_襄 +$REPLACE_襟 +$REPLACE_襠 +$REPLACE_襪 +$REPLACE_襬 +$REPLACE_襯 +$REPLACE_襲 +$REPLACE_西 +$REPLACE_要 +$REPLACE_覃 +$REPLACE_覆 +$REPLACE_覇 +$REPLACE_見 +$REPLACE_規 +$REPLACE_覓 +$REPLACE_視 +$REPLACE_覚 +$REPLACE_覦 +$REPLACE_覧 +$REPLACE_親 +$REPLACE_覬 +$REPLACE_観 +$REPLACE_覷 +$REPLACE_覺 +$REPLACE_覽 +$REPLACE_觀 +$REPLACE_见 +$REPLACE_观 +$REPLACE_规 +$REPLACE_觅 +$REPLACE_视 +$REPLACE_览 +$REPLACE_觉 +$REPLACE_觊 +$REPLACE_觎 +$REPLACE_觐 +$REPLACE_觑 +$REPLACE_角 +$REPLACE_觞 +$REPLACE_解 +$REPLACE_觥 +$REPLACE_触 +$REPLACE_觸 +$REPLACE_言 +$REPLACE_訂 +$REPLACE_計 +$REPLACE_訊 +$REPLACE_討 +$REPLACE_訓 +$REPLACE_訕 +$REPLACE_訖 +$REPLACE_託 +$REPLACE_記 +$REPLACE_訛 +$REPLACE_訝 +$REPLACE_訟 +$REPLACE_訣 +$REPLACE_訥 +$REPLACE_訪 +$REPLACE_設 +$REPLACE_許 +$REPLACE_訳 +$REPLACE_訴 +$REPLACE_訶 +$REPLACE_診 +$REPLACE_註 +$REPLACE_証 +$REPLACE_詆 +$REPLACE_詐 +$REPLACE_詔 +$REPLACE_評 +$REPLACE_詛 +$REPLACE_詞 +$REPLACE_詠 +$REPLACE_詡 +$REPLACE_詢 +$REPLACE_詣 +$REPLACE_試 +$REPLACE_詩 +$REPLACE_詫 +$REPLACE_詬 +$REPLACE_詭 +$REPLACE_詮 +$REPLACE_詰 +$REPLACE_話 +$REPLACE_該 +$REPLACE_詳 +$REPLACE_詹 +$REPLACE_詼 +$REPLACE_誅 +$REPLACE_誇 +$REPLACE_誉 +$REPLACE_誌 +$REPLACE_認 +$REPLACE_誓 +$REPLACE_誕 +$REPLACE_誘 +$REPLACE_語 +$REPLACE_誠 +$REPLACE_誡 +$REPLACE_誣 +$REPLACE_誤 +$REPLACE_誥 +$REPLACE_誦 +$REPLACE_誨 +$REPLACE_說 +$REPLACE_説 +$REPLACE_読 +$REPLACE_誰 +$REPLACE_課 +$REPLACE_誹 +$REPLACE_誼 +$REPLACE_調 +$REPLACE_諄 +$REPLACE_談 +$REPLACE_請 +$REPLACE_諏 +$REPLACE_諒 +$REPLACE_論 +$REPLACE_諗 +$REPLACE_諜 +$REPLACE_諡 +$REPLACE_諦 +$REPLACE_諧 +$REPLACE_諫 +$REPLACE_諭 +$REPLACE_諮 +$REPLACE_諱 +$REPLACE_諳 +$REPLACE_諷 +$REPLACE_諸 +$REPLACE_諺 +$REPLACE_諾 +$REPLACE_謀 +$REPLACE_謁 +$REPLACE_謂 +$REPLACE_謄 +$REPLACE_謊 +$REPLACE_謎 +$REPLACE_謐 +$REPLACE_謔 +$REPLACE_謗 +$REPLACE_謙 +$REPLACE_講 +$REPLACE_謝 +$REPLACE_謠 +$REPLACE_謨 +$REPLACE_謬 +$REPLACE_謹 +$REPLACE_謾 +$REPLACE_譁 +$REPLACE_證 +$REPLACE_譎 +$REPLACE_譏 +$REPLACE_識 +$REPLACE_譙 +$REPLACE_譚 +$REPLACE_譜 +$REPLACE_警 +$REPLACE_譬 +$REPLACE_譯 +$REPLACE_議 +$REPLACE_譲 +$REPLACE_譴 +$REPLACE_護 +$REPLACE_譽 +$REPLACE_讀 +$REPLACE_變 +$REPLACE_讓 +$REPLACE_讚 +$REPLACE_讞 +$REPLACE_计 +$REPLACE_订 +$REPLACE_认 +$REPLACE_讥 +$REPLACE_讧 +$REPLACE_讨 +$REPLACE_让 +$REPLACE_讪 +$REPLACE_讫 +$REPLACE_训 +$REPLACE_议 +$REPLACE_讯 +$REPLACE_记 +$REPLACE_讲 +$REPLACE_讳 +$REPLACE_讴 +$REPLACE_讶 +$REPLACE_讷 +$REPLACE_许 +$REPLACE_讹 +$REPLACE_论 +$REPLACE_讼 +$REPLACE_讽 +$REPLACE_设 +$REPLACE_访 +$REPLACE_诀 +$REPLACE_证 +$REPLACE_诃 +$REPLACE_评 +$REPLACE_诅 +$REPLACE_识 +$REPLACE_诈 +$REPLACE_诉 +$REPLACE_诊 +$REPLACE_诋 +$REPLACE_词 +$REPLACE_诏 +$REPLACE_译 +$REPLACE_试 +$REPLACE_诗 +$REPLACE_诘 +$REPLACE_诙 +$REPLACE_诚 +$REPLACE_诛 +$REPLACE_话 +$REPLACE_诞 +$REPLACE_诟 +$REPLACE_诠 +$REPLACE_诡 +$REPLACE_询 +$REPLACE_诣 +$REPLACE_诤 +$REPLACE_该 +$REPLACE_详 +$REPLACE_诧 +$REPLACE_诩 +$REPLACE_诫 +$REPLACE_诬 +$REPLACE_语 +$REPLACE_误 +$REPLACE_诰 +$REPLACE_诱 +$REPLACE_诲 +$REPLACE_说 +$REPLACE_诵 +$REPLACE_诶 +$REPLACE_请 +$REPLACE_诸 +$REPLACE_诺 +$REPLACE_读 +$REPLACE_诽 +$REPLACE_课 +$REPLACE_诿 +$REPLACE_谀 +$REPLACE_谁 +$REPLACE_调 +$REPLACE_谄 +$REPLACE_谅 +$REPLACE_谆 +$REPLACE_谈 +$REPLACE_谊 +$REPLACE_谋 +$REPLACE_谌 +$REPLACE_谍 +$REPLACE_谎 +$REPLACE_谏 +$REPLACE_谐 +$REPLACE_谑 +$REPLACE_谒 +$REPLACE_谓 +$REPLACE_谔 +$REPLACE_谕 +$REPLACE_谗 +$REPLACE_谘 +$REPLACE_谙 +$REPLACE_谚 +$REPLACE_谛 +$REPLACE_谜 +$REPLACE_谟 +$REPLACE_谢 +$REPLACE_谣 +$REPLACE_谤 +$REPLACE_谥 +$REPLACE_谦 +$REPLACE_谧 +$REPLACE_谨 +$REPLACE_谩 +$REPLACE_谪 +$REPLACE_谬 +$REPLACE_谭 +$REPLACE_谯 +$REPLACE_谱 +$REPLACE_谲 +$REPLACE_谴 +$REPLACE_谶 +$REPLACE_谷 +$REPLACE_豁 +$REPLACE_豆 +$REPLACE_豇 +$REPLACE_豈 +$REPLACE_豉 +$REPLACE_豊 +$REPLACE_豌 +$REPLACE_豎 +$REPLACE_豐 +$REPLACE_豔 +$REPLACE_豚 +$REPLACE_象 +$REPLACE_豢 +$REPLACE_豪 +$REPLACE_豫 +$REPLACE_豬 +$REPLACE_豹 +$REPLACE_豺 +$REPLACE_貂 +$REPLACE_貅 +$REPLACE_貌 +$REPLACE_貓 +$REPLACE_貔 +$REPLACE_貘 +$REPLACE_貝 +$REPLACE_貞 +$REPLACE_負 +$REPLACE_財 +$REPLACE_貢 +$REPLACE_貧 +$REPLACE_貨 +$REPLACE_販 +$REPLACE_貪 +$REPLACE_貫 +$REPLACE_責 +$REPLACE_貯 +$REPLACE_貰 +$REPLACE_貳 +$REPLACE_貴 +$REPLACE_貶 +$REPLACE_買 +$REPLACE_貸 +$REPLACE_費 +$REPLACE_貼 +$REPLACE_貽 +$REPLACE_貿 +$REPLACE_賀 +$REPLACE_賁 +$REPLACE_賂 +$REPLACE_賃 +$REPLACE_賄 +$REPLACE_資 +$REPLACE_賈 +$REPLACE_賊 +$REPLACE_賑 +$REPLACE_賓 +$REPLACE_賜 +$REPLACE_賞 +$REPLACE_賠 +$REPLACE_賡 +$REPLACE_賢 +$REPLACE_賣 +$REPLACE_賤 +$REPLACE_賦 +$REPLACE_質 +$REPLACE_賬 +$REPLACE_賭 +$REPLACE_賴 +$REPLACE_賺 +$REPLACE_購 +$REPLACE_賽 +$REPLACE_贅 +$REPLACE_贈 +$REPLACE_贊 +$REPLACE_贍 +$REPLACE_贏 +$REPLACE_贓 +$REPLACE_贖 +$REPLACE_贛 +$REPLACE_贝 +$REPLACE_贞 +$REPLACE_负 +$REPLACE_贡 +$REPLACE_财 +$REPLACE_责 +$REPLACE_贤 +$REPLACE_败 +$REPLACE_账 +$REPLACE_货 +$REPLACE_质 +$REPLACE_贩 +$REPLACE_贪 +$REPLACE_贫 +$REPLACE_贬 +$REPLACE_购 +$REPLACE_贮 +$REPLACE_贯 +$REPLACE_贰 +$REPLACE_贱 +$REPLACE_贲 +$REPLACE_贴 +$REPLACE_贵 +$REPLACE_贷 +$REPLACE_贸 +$REPLACE_费 +$REPLACE_贺 +$REPLACE_贻 +$REPLACE_贼 +$REPLACE_贾 +$REPLACE_贿 +$REPLACE_赁 +$REPLACE_赂 +$REPLACE_赃 +$REPLACE_资 +$REPLACE_赅 +$REPLACE_赈 +$REPLACE_赊 +$REPLACE_赋 +$REPLACE_赌 +$REPLACE_赎 +$REPLACE_赏 +$REPLACE_赐 +$REPLACE_赓 +$REPLACE_赔 +$REPLACE_赖 +$REPLACE_赘 +$REPLACE_赚 +$REPLACE_赛 +$REPLACE_赝 +$REPLACE_赞 +$REPLACE_赠 +$REPLACE_赡 +$REPLACE_赢 +$REPLACE_赣 +$REPLACE_赤 +$REPLACE_赦 +$REPLACE_赧 +$REPLACE_赫 +$REPLACE_赭 +$REPLACE_走 +$REPLACE_赳 +$REPLACE_赴 +$REPLACE_赵 +$REPLACE_赶 +$REPLACE_起 +$REPLACE_趁 +$REPLACE_超 +$REPLACE_越 +$REPLACE_趋 +$REPLACE_趕 +$REPLACE_趙 +$REPLACE_趟 +$REPLACE_趣 +$REPLACE_趨 +$REPLACE_足 +$REPLACE_趴 +$REPLACE_趵 +$REPLACE_趸 +$REPLACE_趺 +$REPLACE_趾 +$REPLACE_跃 +$REPLACE_跄 +$REPLACE_跆 +$REPLACE_跋 +$REPLACE_跌 +$REPLACE_跎 +$REPLACE_跑 +$REPLACE_跖 +$REPLACE_跚 +$REPLACE_跛 +$REPLACE_距 +$REPLACE_跟 +$REPLACE_跡 +$REPLACE_跤 +$REPLACE_跨 +$REPLACE_跩 +$REPLACE_跪 +$REPLACE_路 +$REPLACE_跳 +$REPLACE_践 +$REPLACE_跷 +$REPLACE_跹 +$REPLACE_跺 +$REPLACE_跻 +$REPLACE_踉 +$REPLACE_踊 +$REPLACE_踌 +$REPLACE_踏 +$REPLACE_踐 +$REPLACE_踝 +$REPLACE_踞 +$REPLACE_踟 +$REPLACE_踢 +$REPLACE_踩 +$REPLACE_踪 +$REPLACE_踮 +$REPLACE_踱 +$REPLACE_踴 +$REPLACE_踵 +$REPLACE_踹 +$REPLACE_蹂 +$REPLACE_蹄 +$REPLACE_蹇 +$REPLACE_蹈 +$REPLACE_蹉 +$REPLACE_蹊 +$REPLACE_蹋 +$REPLACE_蹑 +$REPLACE_蹒 +$REPLACE_蹙 +$REPLACE_蹟 +$REPLACE_蹣 +$REPLACE_蹤 +$REPLACE_蹦 +$REPLACE_蹩 +$REPLACE_蹬 +$REPLACE_蹭 +$REPLACE_蹲 +$REPLACE_蹴 +$REPLACE_蹶 +$REPLACE_蹺 +$REPLACE_蹼 +$REPLACE_蹿 +$REPLACE_躁 +$REPLACE_躇 +$REPLACE_躉 +$REPLACE_躊 +$REPLACE_躋 +$REPLACE_躍 +$REPLACE_躏 +$REPLACE_躪 +$REPLACE_身 +$REPLACE_躬 +$REPLACE_躯 +$REPLACE_躲 +$REPLACE_躺 +$REPLACE_軀 +$REPLACE_車 +$REPLACE_軋 +$REPLACE_軌 +$REPLACE_軍 +$REPLACE_軒 +$REPLACE_軟 +$REPLACE_転 +$REPLACE_軸 +$REPLACE_軼 +$REPLACE_軽 +$REPLACE_軾 +$REPLACE_較 +$REPLACE_載 +$REPLACE_輒 +$REPLACE_輓 +$REPLACE_輔 +$REPLACE_輕 +$REPLACE_輛 +$REPLACE_輝 +$REPLACE_輟 +$REPLACE_輩 +$REPLACE_輪 +$REPLACE_輯 +$REPLACE_輸 +$REPLACE_輻 +$REPLACE_輾 +$REPLACE_輿 +$REPLACE_轄 +$REPLACE_轅 +$REPLACE_轆 +$REPLACE_轉 +$REPLACE_轍 +$REPLACE_轎 +$REPLACE_轟 +$REPLACE_车 +$REPLACE_轧 +$REPLACE_轨 +$REPLACE_轩 +$REPLACE_转 +$REPLACE_轭 +$REPLACE_轮 +$REPLACE_软 +$REPLACE_轰 +$REPLACE_轲 +$REPLACE_轴 +$REPLACE_轶 +$REPLACE_轻 +$REPLACE_轼 +$REPLACE_载 +$REPLACE_轿 +$REPLACE_较 +$REPLACE_辄 +$REPLACE_辅 +$REPLACE_辆 +$REPLACE_辇 +$REPLACE_辈 +$REPLACE_辉 +$REPLACE_辊 +$REPLACE_辍 +$REPLACE_辐 +$REPLACE_辑 +$REPLACE_输 +$REPLACE_辕 +$REPLACE_辖 +$REPLACE_辗 +$REPLACE_辘 +$REPLACE_辙 +$REPLACE_辛 +$REPLACE_辜 +$REPLACE_辞 +$REPLACE_辟 +$REPLACE_辣 +$REPLACE_辦 +$REPLACE_辨 +$REPLACE_辩 +$REPLACE_辫 +$REPLACE_辭 +$REPLACE_辮 +$REPLACE_辯 +$REPLACE_辰 +$REPLACE_辱 +$REPLACE_農 +$REPLACE_边 +$REPLACE_辺 +$REPLACE_辻 +$REPLACE_込 +$REPLACE_辽 +$REPLACE_达 +$REPLACE_迁 +$REPLACE_迂 +$REPLACE_迄 +$REPLACE_迅 +$REPLACE_过 +$REPLACE_迈 +$REPLACE_迎 +$REPLACE_运 +$REPLACE_近 +$REPLACE_返 +$REPLACE_还 +$REPLACE_这 +$REPLACE_进 +$REPLACE_远 +$REPLACE_违 +$REPLACE_连 +$REPLACE_迟 +$REPLACE_迢 +$REPLACE_迤 +$REPLACE_迥 +$REPLACE_迦 +$REPLACE_迩 +$REPLACE_迪 +$REPLACE_迫 +$REPLACE_迭 +$REPLACE_述 +$REPLACE_迴 +$REPLACE_迷 +$REPLACE_迸 +$REPLACE_迹 +$REPLACE_迺 +$REPLACE_追 +$REPLACE_退 +$REPLACE_送 +$REPLACE_适 +$REPLACE_逃 +$REPLACE_逅 +$REPLACE_逆 +$REPLACE_选 +$REPLACE_逊 +$REPLACE_逍 +$REPLACE_透 +$REPLACE_逐 +$REPLACE_递 +$REPLACE_途 +$REPLACE_逕 +$REPLACE_逗 +$REPLACE_這 +$REPLACE_通 +$REPLACE_逛 +$REPLACE_逝 +$REPLACE_逞 +$REPLACE_速 +$REPLACE_造 +$REPLACE_逢 +$REPLACE_連 +$REPLACE_逮 +$REPLACE_週 +$REPLACE_進 +$REPLACE_逵 +$REPLACE_逶 +$REPLACE_逸 +$REPLACE_逻 +$REPLACE_逼 +$REPLACE_逾 +$REPLACE_遁 +$REPLACE_遂 +$REPLACE_遅 +$REPLACE_遇 +$REPLACE_遊 +$REPLACE_運 +$REPLACE_遍 +$REPLACE_過 +$REPLACE_遏 +$REPLACE_遐 +$REPLACE_遑 +$REPLACE_遒 +$REPLACE_道 +$REPLACE_達 +$REPLACE_違 +$REPLACE_遗 +$REPLACE_遙 +$REPLACE_遛 +$REPLACE_遜 +$REPLACE_遞 +$REPLACE_遠 +$REPLACE_遢 +$REPLACE_遣 +$REPLACE_遥 +$REPLACE_遨 +$REPLACE_適 +$REPLACE_遭 +$REPLACE_遮 +$REPLACE_遲 +$REPLACE_遴 +$REPLACE_遵 +$REPLACE_遶 +$REPLACE_遷 +$REPLACE_選 +$REPLACE_遺 +$REPLACE_遼 +$REPLACE_遽 +$REPLACE_避 +$REPLACE_邀 +$REPLACE_邁 +$REPLACE_邂 +$REPLACE_邃 +$REPLACE_還 +$REPLACE_邇 +$REPLACE_邈 +$REPLACE_邊 +$REPLACE_邋 +$REPLACE_邏 +$REPLACE_邑 +$REPLACE_邓 +$REPLACE_邕 +$REPLACE_邛 +$REPLACE_邝 +$REPLACE_邢 +$REPLACE_那 +$REPLACE_邦 +$REPLACE_邨 +$REPLACE_邪 +$REPLACE_邬 +$REPLACE_邮 +$REPLACE_邯 +$REPLACE_邰 +$REPLACE_邱 +$REPLACE_邳 +$REPLACE_邵 +$REPLACE_邸 +$REPLACE_邹 +$REPLACE_邺 +$REPLACE_邻 +$REPLACE_郁 +$REPLACE_郅 +$REPLACE_郊 +$REPLACE_郎 +$REPLACE_郑 +$REPLACE_郜 +$REPLACE_郝 +$REPLACE_郡 +$REPLACE_郢 +$REPLACE_郤 +$REPLACE_郦 +$REPLACE_郧 +$REPLACE_部 +$REPLACE_郫 +$REPLACE_郭 +$REPLACE_郴 +$REPLACE_郵 +$REPLACE_郷 +$REPLACE_郸 +$REPLACE_都 +$REPLACE_鄂 +$REPLACE_鄉 +$REPLACE_鄒 +$REPLACE_鄔 +$REPLACE_鄙 +$REPLACE_鄞 +$REPLACE_鄢 +$REPLACE_鄧 +$REPLACE_鄭 +$REPLACE_鄰 +$REPLACE_鄱 +$REPLACE_鄲 +$REPLACE_鄺 +$REPLACE_酉 +$REPLACE_酊 +$REPLACE_酋 +$REPLACE_酌 +$REPLACE_配 +$REPLACE_酐 +$REPLACE_酒 +$REPLACE_酗 +$REPLACE_酚 +$REPLACE_酝 +$REPLACE_酢 +$REPLACE_酣 +$REPLACE_酥 +$REPLACE_酩 +$REPLACE_酪 +$REPLACE_酬 +$REPLACE_酮 +$REPLACE_酯 +$REPLACE_酰 +$REPLACE_酱 +$REPLACE_酵 +$REPLACE_酶 +$REPLACE_酷 +$REPLACE_酸 +$REPLACE_酿 +$REPLACE_醃 +$REPLACE_醇 +$REPLACE_醉 +$REPLACE_醋 +$REPLACE_醍 +$REPLACE_醐 +$REPLACE_醒 +$REPLACE_醚 +$REPLACE_醛 +$REPLACE_醜 +$REPLACE_醞 +$REPLACE_醣 +$REPLACE_醪 +$REPLACE_醫 +$REPLACE_醬 +$REPLACE_醮 +$REPLACE_醯 +$REPLACE_醴 +$REPLACE_醺 +$REPLACE_釀 +$REPLACE_釁 +$REPLACE_采 +$REPLACE_釉 +$REPLACE_释 +$REPLACE_釋 +$REPLACE_里 +$REPLACE_重 +$REPLACE_野 +$REPLACE_量 +$REPLACE_釐 +$REPLACE_金 +$REPLACE_釗 +$REPLACE_釘 +$REPLACE_釜 +$REPLACE_針 +$REPLACE_釣 +$REPLACE_釦 +$REPLACE_釧 +$REPLACE_釵 +$REPLACE_鈀 +$REPLACE_鈉 +$REPLACE_鈍 +$REPLACE_鈎 +$REPLACE_鈔 +$REPLACE_鈕 +$REPLACE_鈞 +$REPLACE_鈣 +$REPLACE_鈦 +$REPLACE_鈪 +$REPLACE_鈴 +$REPLACE_鈺 +$REPLACE_鈾 +$REPLACE_鉀 +$REPLACE_鉄 +$REPLACE_鉅 +$REPLACE_鉉 +$REPLACE_鉑 +$REPLACE_鉗 +$REPLACE_鉚 +$REPLACE_鉛 +$REPLACE_鉤 +$REPLACE_鉴 +$REPLACE_鉻 +$REPLACE_銀 +$REPLACE_銃 +$REPLACE_銅 +$REPLACE_銑 +$REPLACE_銓 +$REPLACE_銖 +$REPLACE_銘 +$REPLACE_銜 +$REPLACE_銬 +$REPLACE_銭 +$REPLACE_銮 +$REPLACE_銳 +$REPLACE_銷 +$REPLACE_銹 +$REPLACE_鋁 +$REPLACE_鋅 +$REPLACE_鋒 +$REPLACE_鋤 +$REPLACE_鋪 +$REPLACE_鋰 +$REPLACE_鋸 +$REPLACE_鋼 +$REPLACE_錄 +$REPLACE_錐 +$REPLACE_錘 +$REPLACE_錚 +$REPLACE_錠 +$REPLACE_錢 +$REPLACE_錦 +$REPLACE_錨 +$REPLACE_錫 +$REPLACE_錮 +$REPLACE_錯 +$REPLACE_録 +$REPLACE_錳 +$REPLACE_錶 +$REPLACE_鍊 +$REPLACE_鍋 +$REPLACE_鍍 +$REPLACE_鍛 +$REPLACE_鍥 +$REPLACE_鍰 +$REPLACE_鍵 +$REPLACE_鍺 +$REPLACE_鍾 +$REPLACE_鎂 +$REPLACE_鎊 +$REPLACE_鎌 +$REPLACE_鎏 +$REPLACE_鎔 +$REPLACE_鎖 +$REPLACE_鎗 +$REPLACE_鎚 +$REPLACE_鎧 +$REPLACE_鎬 +$REPLACE_鎮 +$REPLACE_鎳 +$REPLACE_鏈 +$REPLACE_鏖 +$REPLACE_鏗 +$REPLACE_鏘 +$REPLACE_鏞 +$REPLACE_鏟 +$REPLACE_鏡 +$REPLACE_鏢 +$REPLACE_鏤 +$REPLACE_鏽 +$REPLACE_鐘 +$REPLACE_鐮 +$REPLACE_鐲 +$REPLACE_鐳 +$REPLACE_鐵 +$REPLACE_鐸 +$REPLACE_鐺 +$REPLACE_鑄 +$REPLACE_鑊 +$REPLACE_鑑 +$REPLACE_鑒 +$REPLACE_鑣 +$REPLACE_鑫 +$REPLACE_鑰 +$REPLACE_鑲 +$REPLACE_鑼 +$REPLACE_鑽 +$REPLACE_鑾 +$REPLACE_鑿 +$REPLACE_针 +$REPLACE_钉 +$REPLACE_钊 +$REPLACE_钎 +$REPLACE_钏 +$REPLACE_钒 +$REPLACE_钓 +$REPLACE_钗 +$REPLACE_钙 +$REPLACE_钛 +$REPLACE_钜 +$REPLACE_钝 +$REPLACE_钞 +$REPLACE_钟 +$REPLACE_钠 +$REPLACE_钡 +$REPLACE_钢 +$REPLACE_钣 +$REPLACE_钤 +$REPLACE_钥 +$REPLACE_钦 +$REPLACE_钧 +$REPLACE_钨 +$REPLACE_钩 +$REPLACE_钮 +$REPLACE_钯 +$REPLACE_钰 +$REPLACE_钱 +$REPLACE_钳 +$REPLACE_钴 +$REPLACE_钵 +$REPLACE_钺 +$REPLACE_钻 +$REPLACE_钼 +$REPLACE_钾 +$REPLACE_钿 +$REPLACE_铀 +$REPLACE_铁 +$REPLACE_铂 +$REPLACE_铃 +$REPLACE_铄 +$REPLACE_铅 +$REPLACE_铆 +$REPLACE_铉 +$REPLACE_铎 +$REPLACE_铐 +$REPLACE_铛 +$REPLACE_铜 +$REPLACE_铝 +$REPLACE_铠 +$REPLACE_铡 +$REPLACE_铢 +$REPLACE_铣 +$REPLACE_铤 +$REPLACE_铨 +$REPLACE_铩 +$REPLACE_铬 +$REPLACE_铭 +$REPLACE_铮 +$REPLACE_铰 +$REPLACE_铲 +$REPLACE_铵 +$REPLACE_银 +$REPLACE_铸 +$REPLACE_铺 +$REPLACE_链 +$REPLACE_铿 +$REPLACE_销 +$REPLACE_锁 +$REPLACE_锂 +$REPLACE_锄 +$REPLACE_锅 +$REPLACE_锆 +$REPLACE_锈 +$REPLACE_锉 +$REPLACE_锋 +$REPLACE_锌 +$REPLACE_锏 +$REPLACE_锐 +$REPLACE_锑 +$REPLACE_错 +$REPLACE_锚 +$REPLACE_锟 +$REPLACE_锡 +$REPLACE_锢 +$REPLACE_锣 +$REPLACE_锤 +$REPLACE_锥 +$REPLACE_锦 +$REPLACE_锭 +$REPLACE_键 +$REPLACE_锯 +$REPLACE_锰 +$REPLACE_锲 +$REPLACE_锵 +$REPLACE_锹 +$REPLACE_锺 +$REPLACE_锻 +$REPLACE_镀 +$REPLACE_镁 +$REPLACE_镂 +$REPLACE_镇 +$REPLACE_镉 +$REPLACE_镌 +$REPLACE_镍 +$REPLACE_镐 +$REPLACE_镑 +$REPLACE_镕 +$REPLACE_镖 +$REPLACE_镗 +$REPLACE_镛 +$REPLACE_镜 +$REPLACE_镣 +$REPLACE_镭 +$REPLACE_镯 +$REPLACE_镰 +$REPLACE_镳 +$REPLACE_镶 +$REPLACE_長 +$REPLACE_长 +$REPLACE_門 +$REPLACE_閃 +$REPLACE_閉 +$REPLACE_開 +$REPLACE_閎 +$REPLACE_閏 +$REPLACE_閑 +$REPLACE_閒 +$REPLACE_間 +$REPLACE_閔 +$REPLACE_閘 +$REPLACE_閡 +$REPLACE_関 +$REPLACE_閣 +$REPLACE_閥 +$REPLACE_閨 +$REPLACE_閩 +$REPLACE_閱 +$REPLACE_閲 +$REPLACE_閹 +$REPLACE_閻 +$REPLACE_閾 +$REPLACE_闆 +$REPLACE_闇 +$REPLACE_闊 +$REPLACE_闌 +$REPLACE_闍 +$REPLACE_闔 +$REPLACE_闕 +$REPLACE_闖 +$REPLACE_闘 +$REPLACE_關 +$REPLACE_闡 +$REPLACE_闢 +$REPLACE_门 +$REPLACE_闪 +$REPLACE_闫 +$REPLACE_闭 +$REPLACE_问 +$REPLACE_闯 +$REPLACE_闰 +$REPLACE_闲 +$REPLACE_间 +$REPLACE_闵 +$REPLACE_闷 +$REPLACE_闸 +$REPLACE_闹 +$REPLACE_闺 +$REPLACE_闻 +$REPLACE_闽 +$REPLACE_闾 +$REPLACE_阀 +$REPLACE_阁 +$REPLACE_阂 +$REPLACE_阅 +$REPLACE_阆 +$REPLACE_阇 +$REPLACE_阈 +$REPLACE_阉 +$REPLACE_阎 +$REPLACE_阐 +$REPLACE_阑 +$REPLACE_阔 +$REPLACE_阕 +$REPLACE_阖 +$REPLACE_阙 +$REPLACE_阚 +$REPLACE_阜 +$REPLACE_队 +$REPLACE_阡 +$REPLACE_阪 +$REPLACE_阮 +$REPLACE_阱 +$REPLACE_防 +$REPLACE_阳 +$REPLACE_阴 +$REPLACE_阵 +$REPLACE_阶 +$REPLACE_阻 +$REPLACE_阿 +$REPLACE_陀 +$REPLACE_陂 +$REPLACE_附 +$REPLACE_际 +$REPLACE_陆 +$REPLACE_陇 +$REPLACE_陈 +$REPLACE_陋 +$REPLACE_陌 +$REPLACE_降 +$REPLACE_限 +$REPLACE_陕 +$REPLACE_陛 +$REPLACE_陝 +$REPLACE_陞 +$REPLACE_陟 +$REPLACE_陡 +$REPLACE_院 +$REPLACE_陣 +$REPLACE_除 +$REPLACE_陨 +$REPLACE_险 +$REPLACE_陪 +$REPLACE_陰 +$REPLACE_陲 +$REPLACE_陳 +$REPLACE_陵 +$REPLACE_陶 +$REPLACE_陷 +$REPLACE_陸 +$REPLACE_険 +$REPLACE_陽 +$REPLACE_隅 +$REPLACE_隆 +$REPLACE_隈 +$REPLACE_隊 +$REPLACE_隋 +$REPLACE_隍 +$REPLACE_階 +$REPLACE_随 +$REPLACE_隐 +$REPLACE_隔 +$REPLACE_隕 +$REPLACE_隘 +$REPLACE_隙 +$REPLACE_際 +$REPLACE_障 +$REPLACE_隠 +$REPLACE_隣 +$REPLACE_隧 +$REPLACE_隨 +$REPLACE_險 +$REPLACE_隱 +$REPLACE_隴 +$REPLACE_隶 +$REPLACE_隸 +$REPLACE_隻 +$REPLACE_隼 +$REPLACE_隽 +$REPLACE_难 +$REPLACE_雀 +$REPLACE_雁 +$REPLACE_雄 +$REPLACE_雅 +$REPLACE_集 +$REPLACE_雇 +$REPLACE_雉 +$REPLACE_雋 +$REPLACE_雌 +$REPLACE_雍 +$REPLACE_雎 +$REPLACE_雏 +$REPLACE_雑 +$REPLACE_雒 +$REPLACE_雕 +$REPLACE_雖 +$REPLACE_雙 +$REPLACE_雛 +$REPLACE_雜 +$REPLACE_雞 +$REPLACE_離 +$REPLACE_難 +$REPLACE_雨 +$REPLACE_雪 +$REPLACE_雯 +$REPLACE_雰 +$REPLACE_雲 +$REPLACE_雳 +$REPLACE_零 +$REPLACE_雷 +$REPLACE_雹 +$REPLACE_電 +$REPLACE_雾 +$REPLACE_需 +$REPLACE_霁 +$REPLACE_霄 +$REPLACE_霆 +$REPLACE_震 +$REPLACE_霈 +$REPLACE_霉 +$REPLACE_霊 +$REPLACE_霍 +$REPLACE_霎 +$REPLACE_霏 +$REPLACE_霑 +$REPLACE_霓 +$REPLACE_霖 +$REPLACE_霜 +$REPLACE_霞 +$REPLACE_霧 +$REPLACE_霭 +$REPLACE_霰 +$REPLACE_露 +$REPLACE_霸 +$REPLACE_霹 +$REPLACE_霽 +$REPLACE_霾 +$REPLACE_靂 +$REPLACE_靄 +$REPLACE_靈 +$REPLACE_青 +$REPLACE_靓 +$REPLACE_靖 +$REPLACE_静 +$REPLACE_靚 +$REPLACE_靛 +$REPLACE_靜 +$REPLACE_非 +$REPLACE_靠 +$REPLACE_靡 +$REPLACE_面 +$REPLACE_靥 +$REPLACE_靦 +$REPLACE_革 +$REPLACE_靳 +$REPLACE_靴 +$REPLACE_靶 +$REPLACE_靼 +$REPLACE_鞅 +$REPLACE_鞋 +$REPLACE_鞍 +$REPLACE_鞏 +$REPLACE_鞑 +$REPLACE_鞘 +$REPLACE_鞠 +$REPLACE_鞣 +$REPLACE_鞦 +$REPLACE_鞭 +$REPLACE_韆 +$REPLACE_韋 +$REPLACE_韌 +$REPLACE_韓 +$REPLACE_韜 +$REPLACE_韦 +$REPLACE_韧 +$REPLACE_韩 +$REPLACE_韬 +$REPLACE_韭 +$REPLACE_音 +$REPLACE_韵 +$REPLACE_韶 +$REPLACE_韻 +$REPLACE_響 +$REPLACE_頁 +$REPLACE_頂 +$REPLACE_頃 +$REPLACE_項 +$REPLACE_順 +$REPLACE_須 +$REPLACE_頌 +$REPLACE_預 +$REPLACE_頑 +$REPLACE_頒 +$REPLACE_頓 +$REPLACE_頗 +$REPLACE_領 +$REPLACE_頜 +$REPLACE_頡 +$REPLACE_頤 +$REPLACE_頫 +$REPLACE_頭 +$REPLACE_頰 +$REPLACE_頷 +$REPLACE_頸 +$REPLACE_頹 +$REPLACE_頻 +$REPLACE_頼 +$REPLACE_顆 +$REPLACE_題 +$REPLACE_額 +$REPLACE_顎 +$REPLACE_顏 +$REPLACE_顔 +$REPLACE_願 +$REPLACE_顛 +$REPLACE_類 +$REPLACE_顧 +$REPLACE_顫 +$REPLACE_顯 +$REPLACE_顱 +$REPLACE_顴 +$REPLACE_页 +$REPLACE_顶 +$REPLACE_顷 +$REPLACE_项 +$REPLACE_顺 +$REPLACE_须 +$REPLACE_顼 +$REPLACE_顽 +$REPLACE_顾 +$REPLACE_顿 +$REPLACE_颁 +$REPLACE_颂 +$REPLACE_预 +$REPLACE_颅 +$REPLACE_领 +$REPLACE_颇 +$REPLACE_颈 +$REPLACE_颉 +$REPLACE_颊 +$REPLACE_颌 +$REPLACE_颍 +$REPLACE_颐 +$REPLACE_频 +$REPLACE_颓 +$REPLACE_颔 +$REPLACE_颖 +$REPLACE_颗 +$REPLACE_题 +$REPLACE_颚 +$REPLACE_颛 +$REPLACE_颜 +$REPLACE_额 +$REPLACE_颞 +$REPLACE_颠 +$REPLACE_颡 +$REPLACE_颢 +$REPLACE_颤 +$REPLACE_颦 +$REPLACE_颧 +$REPLACE_風 +$REPLACE_颯 +$REPLACE_颱 +$REPLACE_颳 +$REPLACE_颶 +$REPLACE_颼 +$REPLACE_飄 +$REPLACE_飆 +$REPLACE_风 +$REPLACE_飒 +$REPLACE_飓 +$REPLACE_飕 +$REPLACE_飘 +$REPLACE_飙 +$REPLACE_飚 +$REPLACE_飛 +$REPLACE_飞 +$REPLACE_食 +$REPLACE_飢 +$REPLACE_飨 +$REPLACE_飩 +$REPLACE_飪 +$REPLACE_飯 +$REPLACE_飲 +$REPLACE_飼 +$REPLACE_飽 +$REPLACE_飾 +$REPLACE_餃 +$REPLACE_餅 +$REPLACE_餉 +$REPLACE_養 +$REPLACE_餌 +$REPLACE_餐 +$REPLACE_餒 +$REPLACE_餓 +$REPLACE_餘 +$REPLACE_餚 +$REPLACE_餛 +$REPLACE_餞 +$REPLACE_餡 +$REPLACE_館 +$REPLACE_餮 +$REPLACE_餵 +$REPLACE_餾 +$REPLACE_饅 +$REPLACE_饈 +$REPLACE_饋 +$REPLACE_饌 +$REPLACE_饍 +$REPLACE_饑 +$REPLACE_饒 +$REPLACE_饕 +$REPLACE_饗 +$REPLACE_饞 +$REPLACE_饥 +$REPLACE_饨 +$REPLACE_饪 +$REPLACE_饬 +$REPLACE_饭 +$REPLACE_饮 +$REPLACE_饯 +$REPLACE_饰 +$REPLACE_饱 +$REPLACE_饲 +$REPLACE_饴 +$REPLACE_饵 +$REPLACE_饶 +$REPLACE_饷 +$REPLACE_饺 +$REPLACE_饼 +$REPLACE_饽 +$REPLACE_饿 +$REPLACE_馀 +$REPLACE_馁 +$REPLACE_馄 +$REPLACE_馅 +$REPLACE_馆 +$REPLACE_馈 +$REPLACE_馋 +$REPLACE_馍 +$REPLACE_馏 +$REPLACE_馒 +$REPLACE_馔 +$REPLACE_首 +$REPLACE_馗 +$REPLACE_香 +$REPLACE_馥 +$REPLACE_馨 +$REPLACE_馬 +$REPLACE_馭 +$REPLACE_馮 +$REPLACE_馳 +$REPLACE_馴 +$REPLACE_駁 +$REPLACE_駄 +$REPLACE_駅 +$REPLACE_駆 +$REPLACE_駐 +$REPLACE_駒 +$REPLACE_駕 +$REPLACE_駛 +$REPLACE_駝 +$REPLACE_駭 +$REPLACE_駱 +$REPLACE_駿 +$REPLACE_騁 +$REPLACE_騎 +$REPLACE_騏 +$REPLACE_験 +$REPLACE_騙 +$REPLACE_騨 +$REPLACE_騰 +$REPLACE_騷 +$REPLACE_驀 +$REPLACE_驅 +$REPLACE_驊 +$REPLACE_驍 +$REPLACE_驒 +$REPLACE_驕 +$REPLACE_驗 +$REPLACE_驚 +$REPLACE_驛 +$REPLACE_驟 +$REPLACE_驢 +$REPLACE_驥 +$REPLACE_马 +$REPLACE_驭 +$REPLACE_驮 +$REPLACE_驯 +$REPLACE_驰 +$REPLACE_驱 +$REPLACE_驳 +$REPLACE_驴 +$REPLACE_驶 +$REPLACE_驷 +$REPLACE_驸 +$REPLACE_驹 +$REPLACE_驻 +$REPLACE_驼 +$REPLACE_驾 +$REPLACE_驿 +$REPLACE_骁 +$REPLACE_骂 +$REPLACE_骄 +$REPLACE_骅 +$REPLACE_骆 +$REPLACE_骇 +$REPLACE_骈 +$REPLACE_骊 +$REPLACE_骋 +$REPLACE_验 +$REPLACE_骏 +$REPLACE_骐 +$REPLACE_骑 +$REPLACE_骗 +$REPLACE_骚 +$REPLACE_骛 +$REPLACE_骜 +$REPLACE_骞 +$REPLACE_骠 +$REPLACE_骡 +$REPLACE_骤 +$REPLACE_骥 +$REPLACE_骧 +$REPLACE_骨 +$REPLACE_骯 +$REPLACE_骰 +$REPLACE_骶 +$REPLACE_骷 +$REPLACE_骸 +$REPLACE_骼 +$REPLACE_髂 +$REPLACE_髅 +$REPLACE_髋 +$REPLACE_髏 +$REPLACE_髒 +$REPLACE_髓 +$REPLACE_體 +$REPLACE_髖 +$REPLACE_高 +$REPLACE_髦 +$REPLACE_髪 +$REPLACE_髮 +$REPLACE_髯 +$REPLACE_髻 +$REPLACE_鬃 +$REPLACE_鬆 +$REPLACE_鬍 +$REPLACE_鬓 +$REPLACE_鬚 +$REPLACE_鬟 +$REPLACE_鬢 +$REPLACE_鬣 +$REPLACE_鬥 +$REPLACE_鬧 +$REPLACE_鬱 +$REPLACE_鬼 +$REPLACE_魁 +$REPLACE_魂 +$REPLACE_魄 +$REPLACE_魅 +$REPLACE_魇 +$REPLACE_魍 +$REPLACE_魏 +$REPLACE_魔 +$REPLACE_魘 +$REPLACE_魚 +$REPLACE_魯 +$REPLACE_魷 +$REPLACE_鮑 +$REPLACE_鮨 +$REPLACE_鮪 +$REPLACE_鮭 +$REPLACE_鮮 +$REPLACE_鯉 +$REPLACE_鯊 +$REPLACE_鯖 +$REPLACE_鯛 +$REPLACE_鯨 +$REPLACE_鯰 +$REPLACE_鯽 +$REPLACE_鰍 +$REPLACE_鰓 +$REPLACE_鰭 +$REPLACE_鰲 +$REPLACE_鰻 +$REPLACE_鰾 +$REPLACE_鱈 +$REPLACE_鱉 +$REPLACE_鱔 +$REPLACE_鱗 +$REPLACE_鱷 +$REPLACE_鱸 +$REPLACE_鱼 +$REPLACE_鱿 +$REPLACE_鲁 +$REPLACE_鲈 +$REPLACE_鲍 +$REPLACE_鲑 +$REPLACE_鲛 +$REPLACE_鲜 +$REPLACE_鲟 +$REPLACE_鲢 +$REPLACE_鲤 +$REPLACE_鲨 +$REPLACE_鲫 +$REPLACE_鲱 +$REPLACE_鲲 +$REPLACE_鲶 +$REPLACE_鲷 +$REPLACE_鲸 +$REPLACE_鳃 +$REPLACE_鳄 +$REPLACE_鳅 +$REPLACE_鳌 +$REPLACE_鳍 +$REPLACE_鳕 +$REPLACE_鳖 +$REPLACE_鳗 +$REPLACE_鳝 +$REPLACE_鳞 +$REPLACE_鳥 +$REPLACE_鳩 +$REPLACE_鳳 +$REPLACE_鳴 +$REPLACE_鳶 +$REPLACE_鴉 +$REPLACE_鴕 +$REPLACE_鴛 +$REPLACE_鴦 +$REPLACE_鴨 +$REPLACE_鴻 +$REPLACE_鴿 +$REPLACE_鵑 +$REPLACE_鵜 +$REPLACE_鵝 +$REPLACE_鵡 +$REPLACE_鵬 +$REPLACE_鵰 +$REPLACE_鵲 +$REPLACE_鶘 +$REPLACE_鶩 +$REPLACE_鶯 +$REPLACE_鶴 +$REPLACE_鷗 +$REPLACE_鷲 +$REPLACE_鷹 +$REPLACE_鷺 +$REPLACE_鸚 +$REPLACE_鸞 +$REPLACE_鸟 +$REPLACE_鸠 +$REPLACE_鸡 +$REPLACE_鸢 +$REPLACE_鸣 +$REPLACE_鸥 +$REPLACE_鸦 +$REPLACE_鸨 +$REPLACE_鸪 +$REPLACE_鸭 +$REPLACE_鸯 +$REPLACE_鸳 +$REPLACE_鸵 +$REPLACE_鸽 +$REPLACE_鸾 +$REPLACE_鸿 +$REPLACE_鹂 +$REPLACE_鹃 +$REPLACE_鹄 +$REPLACE_鹅 +$REPLACE_鹈 +$REPLACE_鹉 +$REPLACE_鹊 +$REPLACE_鹌 +$REPLACE_鹏 +$REPLACE_鹑 +$REPLACE_鹕 +$REPLACE_鹘 +$REPLACE_鹜 +$REPLACE_鹞 +$REPLACE_鹤 +$REPLACE_鹦 +$REPLACE_鹧 +$REPLACE_鹫 +$REPLACE_鹭 +$REPLACE_鹰 +$REPLACE_鹳 +$REPLACE_鹵 +$REPLACE_鹹 +$REPLACE_鹼 +$REPLACE_鹽 +$REPLACE_鹿 +$REPLACE_麂 +$REPLACE_麋 +$REPLACE_麒 +$REPLACE_麓 +$REPLACE_麗 +$REPLACE_麝 +$REPLACE_麟 +$REPLACE_麥 +$REPLACE_麦 +$REPLACE_麩 +$REPLACE_麴 +$REPLACE_麵 +$REPLACE_麸 +$REPLACE_麺 +$REPLACE_麻 +$REPLACE_麼 +$REPLACE_麽 +$REPLACE_麾 +$REPLACE_黃 +$REPLACE_黄 +$REPLACE_黍 +$REPLACE_黎 +$REPLACE_黏 +$REPLACE_黑 +$REPLACE_黒 +$REPLACE_黔 +$REPLACE_默 +$REPLACE_黛 +$REPLACE_黜 +$REPLACE_黝 +$REPLACE_點 +$REPLACE_黠 +$REPLACE_黨 +$REPLACE_黯 +$REPLACE_黴 +$REPLACE_鼋 +$REPLACE_鼎 +$REPLACE_鼐 +$REPLACE_鼓 +$REPLACE_鼠 +$REPLACE_鼬 +$REPLACE_鼹 +$REPLACE_鼻 +$REPLACE_鼾 +$REPLACE_齁 +$REPLACE_齊 +$REPLACE_齋 +$REPLACE_齐 +$REPLACE_齒 +$REPLACE_齡 +$REPLACE_齢 +$REPLACE_齣 +$REPLACE_齦 +$REPLACE_齿 +$REPLACE_龄 +$REPLACE_龅 +$REPLACE_龈 +$REPLACE_龊 +$REPLACE_龋 +$REPLACE_龌 +$REPLACE_龍 +$REPLACE_龐 +$REPLACE_龔 +$REPLACE_龕 +$REPLACE_龙 +$REPLACE_龚 +$REPLACE_龛 +$REPLACE_龜 +$REPLACE_龟 +$REPLACE_︰ +$REPLACE_︱ +$REPLACE_︶ +$REPLACE_︿ +$REPLACE_﹁ +$REPLACE_﹂ +$REPLACE_﹍ +$REPLACE_﹏ +$REPLACE_﹐ +$REPLACE_﹑ +$REPLACE_﹒ +$REPLACE_﹔ +$REPLACE_﹕ +$REPLACE_﹖ +$REPLACE_﹗ +$REPLACE_﹙ +$REPLACE_﹚ +$REPLACE_﹝ +$REPLACE_﹞ +$REPLACE_﹡ +$REPLACE_﹣ +$REPLACE_！ +$REPLACE_＂ +$REPLACE_＃ +$REPLACE_＄ +$REPLACE_％ +$REPLACE_＆ +$REPLACE_＇ +$REPLACE_（ +$REPLACE_） +$REPLACE_＊ +$REPLACE_＋ +$REPLACE_， +$REPLACE_－ +$REPLACE_． +$REPLACE_／ +$REPLACE_０ +$REPLACE_１ +$REPLACE_２ +$REPLACE_３ +$REPLACE_４ +$REPLACE_５ +$REPLACE_６ +$REPLACE_７ +$REPLACE_８ +$REPLACE_９ +$REPLACE_： +$REPLACE_； +$REPLACE_＜ +$REPLACE_＝ +$REPLACE_＞ +$REPLACE_？ +$REPLACE_＠ +$REPLACE_［ +$REPLACE_＼ +$REPLACE_］ +$REPLACE_＾ +$REPLACE_＿ +$REPLACE_｀ +$REPLACE_ａ +$REPLACE_ｂ +$REPLACE_ｃ +$REPLACE_ｄ +$REPLACE_ｅ +$REPLACE_ｆ +$REPLACE_ｇ +$REPLACE_ｈ +$REPLACE_ｉ +$REPLACE_ｊ +$REPLACE_ｋ +$REPLACE_ｌ +$REPLACE_ｍ +$REPLACE_ｎ +$REPLACE_ｏ +$REPLACE_ｐ +$REPLACE_ｑ +$REPLACE_ｒ +$REPLACE_ｓ +$REPLACE_ｔ +$REPLACE_ｕ +$REPLACE_ｖ +$REPLACE_ｗ +$REPLACE_ｘ +$REPLACE_ｙ +$REPLACE_ｚ +$REPLACE_｛ +$REPLACE_｜ +$REPLACE_｝ +$REPLACE_～ +$REPLACE_｡ +$REPLACE_｢ +$REPLACE_｣ +$REPLACE_､ +$REPLACE_･ +$REPLACE_ｯ +$REPLACE_ｰ +$REPLACE_ｲ +$REPLACE_ｸ +$REPLACE_ｼ +$REPLACE_ｽ +$REPLACE_ﾄ +$REPLACE_ﾉ +$REPLACE_ﾌ +$REPLACE_ﾗ +$REPLACE_ﾙ +$REPLACE_ﾝ +$REPLACE_ﾞ +$REPLACE_ﾟ +$REPLACE_￣ +$REPLACE_￥ +$REPLACE_👍 +$REPLACE_🔥 +$REPLACE_😂 +$REPLACE_😎 +$REPLACE_偬 +$REPLACE_碲 +$REPLACE_裯 +$REPLACE_谵 +$REPLACE_诓 +$REPLACE_纻 +$REPLACE_蝤 +$REPLACE_捭 +$REPLACE_蓣 +$REPLACE_鞫 +$REPLACE_浍 +$REPLACE_欹 +$REPLACE_郓 +$REPLACE_鹁 +$REPLACE_鯓 +$REPLACE_禋 +$REPLACE_屻 +$REPLACE_鲅 +$REPLACE_痃 +$REPLACE_窀 +$REPLACE_蒽 +$REPLACE_蘖 +$REPLACE_岵 +$REPLACE_燹 +$REPLACE_驽 +$REPLACE_缣 +$REPLACE_甑 +$REPLACE_攴 +$REPLACE_昰 +$REPLACE_柁 +$REPLACE_祓 +$REPLACE_舁 +$REPLACE_恂 +$REPLACE_羕 +$REPLACE_𫐄 +$REPLACE_帩 +$REPLACE_锽 +$REPLACE_唵 +$REPLACE_怫 +$REPLACE_晧 +$REPLACE_衽 +$REPLACE_廼 +$REPLACE_涫 +$REPLACE_歃 +$REPLACE_勲 +$REPLACE_黼 +$REPLACE_詝 +$REPLACE_沩 +$REPLACE_缑 +$REPLACE_喾 +$REPLACE_唣 +$REPLACE_帏 +$REPLACE_昫 +$REPLACE_撙 +$REPLACE_掎 +$REPLACE_黻 +$REPLACE_耩 +$REPLACE_枵 +$REPLACE_琎 +$REPLACE_瞍 +$REPLACE_髌 +$REPLACE_鍱 +$REPLACE_绌 +$REPLACE_郪 +$REPLACE_鄜 +$REPLACE_蒇 +$REPLACE_嗌 +$REPLACE_炻 +$REPLACE_钽 +$REPLACE_尅 +$REPLACE_暊 +$REPLACE_饫 +$REPLACE_鄫 +$REPLACE_粦 +$REPLACE_璮 +$REPLACE_筘 +$REPLACE_胂 +$REPLACE_郏 +$REPLACE_抃 +$REPLACE_鲧 +$REPLACE_钷 +$REPLACE_绁 +$REPLACE_垱 +$REPLACE_屮 +$REPLACE_钭 +$REPLACE_鲳 +$REPLACE_伛 +$REPLACE_秫 +$REPLACE_蒺 +$REPLACE_绹 +$REPLACE_藁 +$REPLACE_耢 +$REPLACE_丬 +$REPLACE_簗 +$REPLACE_孓 +$REPLACE_襦 +$REPLACE_箓 +$REPLACE_倣 +$REPLACE_狴 +$REPLACE_彳 +$REPLACE_巉 +$REPLACE_趿 +$REPLACE_圊 +$REPLACE_狍 +$REPLACE_嗫 +$REPLACE_廛 +$REPLACE_耖 +$REPLACE_漼 +$REPLACE_哓 +$REPLACE_虼 +$REPLACE_悛 +$REPLACE_璪 +$REPLACE_哳 +$REPLACE_俜 +$REPLACE_缌 +$REPLACE_湉 +$REPLACE_殽 +$REPLACE_瘛 +$REPLACE_郗 +$REPLACE_埈 +$REPLACE_逡 +$REPLACE_僰 +$REPLACE_銲 +$REPLACE_酏 +$REPLACE_邗 +$REPLACE_踫 +$REPLACE_旸 +$REPLACE_棫 +$REPLACE_愀 +$REPLACE_讠 +$REPLACE_紞 +$REPLACE_鑨 +$REPLACE_簏 +$REPLACE_锎 +$REPLACE_瑊 +$REPLACE_廒 +$REPLACE_幞 +$REPLACE_隳 +$REPLACE_彖 +$REPLACE_牿 +$REPLACE_郾 +$REPLACE_诜 +$REPLACE_逭 +$REPLACE_豸 +$REPLACE_呪 +$REPLACE_锝 +$REPLACE_鲃 +$REPLACE_鞲 +$REPLACE_萑 +$REPLACE_賛 +$REPLACE_陁 +$REPLACE_鱀 +$REPLACE_圀 +$REPLACE_謇 +$REPLACE_棪 +$REPLACE_棨 +$REPLACE_怍 +$REPLACE_镢 +$REPLACE_禵 +$REPLACE_僎 +$REPLACE_瘰 +$REPLACE_筻 +$REPLACE_骓 +$REPLACE_堌 +$REPLACE_吲 +$REPLACE_鹎 +$REPLACE_犂 +$REPLACE_鍪 +$REPLACE_鳠 +$REPLACE_椝 +$REPLACE_缗 +$REPLACE_裼 +$REPLACE_膂 +$REPLACE_侪 +$REPLACE_筮 +$REPLACE_鲡 +$REPLACE_楱 +$REPLACE_劼 +$REPLACE_霨 +$REPLACE_彟 +$REPLACE_欉 +$REPLACE_馑 +$REPLACE_婥 +$REPLACE_耜 +$REPLACE_薫 +$REPLACE_鮀 +$REPLACE_踯 +$REPLACE_懐 +$REPLACE_鳘 +$REPLACE_鞬 +$REPLACE_沲 +$REPLACE_槊 +$REPLACE_僊 +$REPLACE_浼 +$REPLACE_澣 +$REPLACE_氆 +$REPLACE_珵 +$REPLACE_玕 +$REPLACE_仼 +$REPLACE_裈 +$REPLACE_墬 +$REPLACE_鞞 +$REPLACE_蕰 +$REPLACE_骖 +$REPLACE_柷 +$REPLACE_蒉 +$REPLACE_裿 +$REPLACE_纥 +$REPLACE_迆 +$REPLACE_憷 +$REPLACE_寳 +$REPLACE_畯 +$REPLACE_馓 +$REPLACE_仡 +$REPLACE_瘳 +$REPLACE_绱 +$REPLACE_陬 +$REPLACE_訇 +$REPLACE_翃 +$REPLACE_疢 +$REPLACE_軎 +$REPLACE_堠 +$REPLACE_橚 +$REPLACE_埙 +$REPLACE_苈 +$REPLACE_訏 +$REPLACE_蒴 +$REPLACE_铹 +$REPLACE_堞 +$REPLACE_枹 +$REPLACE_翙 +$REPLACE_哞 +$REPLACE_怄 +$REPLACE_帱 +$REPLACE_樋 +$REPLACE_脶 +$REPLACE_遹 +$REPLACE_邡 +$REPLACE_暍 +$REPLACE_鋹 +$REPLACE_剞 +$REPLACE_篛 +$REPLACE_屃 +$REPLACE_蝘 +$REPLACE_瀣 +$REPLACE_崤 +$REPLACE_辚 +$REPLACE_愦 +$REPLACE_轹 +$REPLACE_塀 +$REPLACE_荛 +$REPLACE_荇 +$REPLACE_鹛 +$REPLACE_钸 +$REPLACE_铟 +$REPLACE_擤 +$REPLACE_彛 +$REPLACE_茆 +$REPLACE_荮 +$REPLACE_躜 +$REPLACE_昺 +$REPLACE_蔸 +$REPLACE_徂 +$REPLACE_芰 +$REPLACE_缐 +$REPLACE_湜 +$REPLACE_郯 +$REPLACE_郄 +$REPLACE_蝻 +$REPLACE_驵 +$REPLACE_淓 +$REPLACE_裣 +$REPLACE_骘 +$REPLACE_扆 +$REPLACE_玨 +$REPLACE_菫 +$REPLACE_篾 +$REPLACE_崦 +$REPLACE_袓 +$REPLACE_脞 +$REPLACE_慇 +$REPLACE_菝 +$REPLACE_铪 +$REPLACE_魮 +$REPLACE_巂 +$REPLACE_冖 +$REPLACE_墦 +$REPLACE_呾 +$REPLACE_铌 +$REPLACE_檨 +$REPLACE_砮 +$REPLACE_韪 +$REPLACE_硚 +$REPLACE_懽 +$REPLACE_鉲 +$REPLACE_焓 +$REPLACE_詈 +$REPLACE_搿 +$REPLACE_艿 +$REPLACE_蟛 +$REPLACE_椠 +$REPLACE_瀍 +$REPLACE_湓 +$REPLACE_櫈 +$REPLACE_淝 +$REPLACE_倮 +$REPLACE_踣 +$REPLACE_怩 +$REPLACE_𪲔 +$REPLACE_暦 +$REPLACE_忄 +$REPLACE_鳑 +$REPLACE_鳁 +$REPLACE_坜 +$REPLACE_竦 +$REPLACE_鲂 +$REPLACE_磻 +$REPLACE_鄗 +$REPLACE_缟 +$REPLACE_畛 +$REPLACE_鹩 +$REPLACE_锜 +$REPLACE_邶 +$REPLACE_劬 +$REPLACE_雠 +$REPLACE_盍 +$REPLACE_爨 +$REPLACE_鹪 +$REPLACE_螬 +$REPLACE_杌 +$REPLACE_勅 +$REPLACE_蚡 +$REPLACE_杲 +$REPLACE_谫 +$REPLACE_袷 +$REPLACE_唼 +$REPLACE_酾 +$REPLACE_邴 +$REPLACE_𫍻 +$REPLACE_慊 +$REPLACE_蕹 +$REPLACE_貉 +$REPLACE_榘 +$REPLACE_畋 +$REPLACE_逹 +$REPLACE_礞 +$REPLACE_岣 +$REPLACE_醵 +$REPLACE_硪 +$REPLACE_氚 +$REPLACE_瘭 +$REPLACE_墁 +$REPLACE_蝮 +$REPLACE_儅 +$REPLACE_荩 +$REPLACE_魃 +$REPLACE_钔 +$REPLACE_婼 +$REPLACE_晙 +$REPLACE_唃 +$REPLACE_躄 +$REPLACE_奭 +$REPLACE_蹠 +$REPLACE_倥 +$REPLACE_鲇 +$REPLACE_劄 +$REPLACE_鲞 +$REPLACE_硎 +$REPLACE_鲺 +$REPLACE_茺 +$REPLACE_鳇 +$REPLACE_楤 +$REPLACE_辁 +$REPLACE_墚 +$REPLACE_磝 +$REPLACE_酹 +$REPLACE_钇 +$REPLACE_蛘 +$REPLACE_湩 +$REPLACE_鄘 +$REPLACE_窭 +$REPLACE_辏 +$REPLACE_钌 +$REPLACE_钋 +$REPLACE_觳 +$REPLACE_簕 +$REPLACE_沍 +$REPLACE_铯 +$REPLACE_嘏 +$REPLACE_鲼 +$REPLACE_匂 +$REPLACE_鹣 +$REPLACE_骕 +$REPLACE_醢 +$REPLACE_纡 +$REPLACE_铇 +$REPLACE_菪 +$REPLACE_艛 +$REPLACE_钅 +$REPLACE_璆 +$REPLACE_陔 +$REPLACE_茳 +$REPLACE_鸷 +$REPLACE_寤 +$REPLACE_锫 +$REPLACE_尙 +$REPLACE_廵 +$REPLACE_梼 +$REPLACE_襻 +$REPLACE_鲻 +$REPLACE_涑 +$REPLACE_闶 +$REPLACE_脰 +$REPLACE_暅 +$REPLACE_坶 +$REPLACE_鷟 +$REPLACE_黁 +$REPLACE_疍 +$REPLACE_嫪 +$REPLACE_揎 +$REPLACE_𫖯 +$REPLACE_瘵 +$REPLACE_夂 +$REPLACE_侉 +$REPLACE_傺 +$REPLACE_臯 +$REPLACE_鳔 +$REPLACE_樛 +$REPLACE_甡 +$REPLACE_飧 +$REPLACE_宧 +$REPLACE_韫 +$REPLACE_轵 +$REPLACE_皲 +$REPLACE_滗 +$REPLACE_怿 +$REPLACE_鲵 +$REPLACE_緜 +$REPLACE_檑 +$REPLACE_渑 +$REPLACE_鳙 +$REPLACE_穰 +$REPLACE_蔆 +$REPLACE_鬪 +$REPLACE_酤 +$REPLACE_尢 +$REPLACE_谖 +$REPLACE_鄯 +$REPLACE_娌 +$REPLACE_稆 +$REPLACE_耪 +$REPLACE_荦 +$REPLACE_磔 +$REPLACE_烀 +$REPLACE_塽 +$REPLACE_氘 +$REPLACE_绋 +$REPLACE_粞 +$REPLACE_巌 +$REPLACE_鸸 +$REPLACE_澥 +$REPLACE_麹 +$REPLACE_缃 +$REPLACE_椤 +$REPLACE_袴 +$REPLACE_鼒 +$REPLACE_趱 +$REPLACE_罍 +$REPLACE_搠 +$REPLACE_锩 +$REPLACE_钖 +$REPLACE_葜 +$REPLACE_枏 +$REPLACE_莜 +$REPLACE_宄 +$REPLACE_禤 +$REPLACE_鹾 +$REPLACE_搌 +$REPLACE_脷 +$REPLACE_笊 +$REPLACE_臈 +$REPLACE_雫 +$REPLACE_桕 +$REPLACE_厰 +$REPLACE_饧 +$REPLACE_钕 +$REPLACE_凫 +$REPLACE_脒 +$REPLACE_嘬 +$REPLACE_鲴 +$REPLACE_劓 +$REPLACE_锶 +$REPLACE_鮠 +$REPLACE_燏 +$REPLACE_钬 +$REPLACE_媸 +$REPLACE_礓 +$REPLACE_飑 +$REPLACE_淠 +$REPLACE_曚 +$REPLACE_昝 +$REPLACE_骟 +$REPLACE_隄 +$REPLACE_罨 +$REPLACE_姶 +$REPLACE_铈 +$REPLACE_穋 +$REPLACE_硷 +$REPLACE_喈 +$REPLACE_筿 +$REPLACE_燠 +$REPLACE_垕 +$REPLACE_舭 +$REPLACE_诎 +$REPLACE_杩 +$REPLACE_煴 +$REPLACE_蚋 +$REPLACE_璲 +$REPLACE_郈 +$REPLACE_仵 +$REPLACE_铫 +$REPLACE_砟 +$REPLACE_埯 +$REPLACE_湼 +$REPLACE_厣 +$REPLACE_窰 +$REPLACE_箄 +$REPLACE_蜣 +$REPLACE_艏 +$REPLACE_蓠 +$REPLACE_黹 +$REPLACE_鐾 +$REPLACE_纮 +$REPLACE_旄 +$REPLACE_朿 +$REPLACE_镄 +$REPLACE_荑 +$REPLACE_侁 +$REPLACE_嗉 +$REPLACE_譔 +$REPLACE_迨 +$REPLACE_缳 +$REPLACE_疃 +$REPLACE_琄 +$REPLACE_晳 +$REPLACE_伷 +$REPLACE_疰 +$REPLACE_忸 +$REPLACE_齑 +$REPLACE_龇 +$REPLACE_頠 +$REPLACE_饩 +$REPLACE_鳓 +$REPLACE_黡 +$REPLACE_薤 +$REPLACE_鲀 +$REPLACE_鑤 +$REPLACE_赆 +$REPLACE_碡 +$REPLACE_橿 +$REPLACE_嶲 +$REPLACE_烝 +$REPLACE_咴 +$REPLACE_篦 +$REPLACE_妺 +$REPLACE_浞 +$REPLACE_伥 +$REPLACE_榀 +$REPLACE_蕗 +$REPLACE_琚 +$REPLACE_郛 +$REPLACE_暎 +$REPLACE_蜾 +$REPLACE_鞒 +$REPLACE_鯭 +$REPLACE_鸫 +$REPLACE_铗 +$REPLACE_錞 +$REPLACE_礅 +$REPLACE_缫 +$REPLACE_堍 +$REPLACE_嗢 +$REPLACE_魑 +$REPLACE_舡 +$REPLACE_咥 +$REPLACE_晊 +$REPLACE_跣 +$REPLACE_刭 +$REPLACE_蚶 +$REPLACE_瘊 +$REPLACE_湲 +$REPLACE_擗 +$REPLACE_暕 +$REPLACE_颥 +$REPLACE_楢 +$REPLACE_鲉 +$REPLACE_籴 +$REPLACE_杗 +$REPLACE_苘 +$REPLACE_佺 +$REPLACE_轷 +$REPLACE_舄 +$REPLACE_殳 +$REPLACE_顸 +$REPLACE_臜 +$REPLACE_廻 +$REPLACE_碜 +$REPLACE_蓨 +$REPLACE_戗 +$REPLACE_锍 +$REPLACE_眬 +$REPLACE_鳊 +$REPLACE_檫 +$REPLACE_籓 +$REPLACE_溷 +$REPLACE_跦 +$REPLACE_轫 +$REPLACE_耵 +$REPLACE_扌 +$REPLACE_驩 +$REPLACE_砵 +$REPLACE_戢 +$REPLACE_瞵 +$REPLACE_泚 +$REPLACE_躞 +$REPLACE_凊 +$REPLACE_阊 +$REPLACE_瑈 +$REPLACE_窣 +$REPLACE_艚 +$REPLACE_逌 +$REPLACE_嚈 +$REPLACE_澁 +$REPLACE_俦 +$REPLACE_笕 +$REPLACE_亁 +$REPLACE_瓞 +$REPLACE_痄 +$REPLACE_茌 +$REPLACE_趔 +$REPLACE_螵 +$REPLACE_隷 +$REPLACE_嫫 +$REPLACE_虓 +$REPLACE_汔 +$REPLACE_鞆 +$REPLACE_蓥 +$REPLACE_晸 +$REPLACE_晛 +$REPLACE_铱 +$REPLACE_槱 +$REPLACE_莼 +$REPLACE_姵 +$REPLACE_闿 +$REPLACE_锷 +$REPLACE_蒗 +$REPLACE_溘 +$REPLACE_鸑 +$REPLACE_螗 +$REPLACE_埴 +$REPLACE_嚅 +$REPLACE_塄 +$REPLACE_躔 +$REPLACE_寯 +$REPLACE_耔 +$REPLACE_稙 +$REPLACE_檠 +$REPLACE_觖 +$REPLACE_犏 +$REPLACE_廌 +$REPLACE_鳎 +$REPLACE_邠 +$REPLACE_庥 +$REPLACE_慝 +$REPLACE_赕 +$REPLACE_陧 +$REPLACE_煕 +$REPLACE_谇 +$REPLACE_祧 +$REPLACE_浉 +$REPLACE_锘 +$REPLACE_氅 +$REPLACE_錾 +$REPLACE_鲹 +$REPLACE_黉 +$REPLACE_朊 +$REPLACE_挢 +$REPLACE_舢 +$REPLACE_笾 +$REPLACE_仳 +$REPLACE_鲿 +$REPLACE_廑 +$REPLACE_綎 +$REPLACE_鬻 +$REPLACE_潲 +$REPLACE_岿 +$REPLACE_酡 +$REPLACE_溇 +$REPLACE_篌 +$REPLACE_鸲 +$REPLACE_螭 +$REPLACE_铧 +$REPLACE_铦 +$REPLACE_瞢 +$REPLACE_梉 +$REPLACE_璥 +$REPLACE_狲 +$REPLACE_詧 +$REPLACE_磙 +$REPLACE_缒 +$REPLACE_栞 +$REPLACE_枓 +$REPLACE_镅 +$REPLACE_嶒 +$REPLACE_稃 +$REPLACE_岜 +$REPLACE_嵴 +$REPLACE_笸 +$REPLACE_骀 +$REPLACE_虍 +$REPLACE_峄 +$REPLACE_讣 +$REPLACE_忭 +$REPLACE_幷 +$REPLACE_暠 +$REPLACE_澂 +$REPLACE_牁 +$REPLACE_縻 +$REPLACE_甽 +$REPLACE_漈 +$REPLACE_箅 +$REPLACE_姅 +$REPLACE_礽 +$REPLACE_髀 +$REPLACE_崾 +$REPLACE_樘 +$REPLACE_胲 +$REPLACE_铷 +$REPLACE_骺 +$REPLACE_堋 +$REPLACE_玹 +$REPLACE_栿 +$REPLACE_腠 +$REPLACE_勰 +$REPLACE_酎 +$REPLACE_鳢 +$REPLACE_猸 +$REPLACE_闩 +$REPLACE_褽 +$REPLACE_蠖 +$REPLACE_遄 +$REPLACE_瘼 +$REPLACE_糨 +$REPLACE_艽 +$REPLACE_跽 +$REPLACE_楯 +$REPLACE_洺 +$REPLACE_鳯 +$REPLACE_丌 +$REPLACE_芏 +$REPLACE_垆 +$REPLACE_瓘 +$REPLACE_笱 +$REPLACE_莨 +$REPLACE_傈 +$REPLACE_褰 +$REPLACE_魈 +$REPLACE_呒 +$REPLACE_阋 +$REPLACE_鹆 +$REPLACE_羰 +$REPLACE_枘 +$REPLACE_腽 +$REPLACE_梃 +$REPLACE_眭 +$REPLACE_缯 +$REPLACE_瀹 +$REPLACE_骙 +$REPLACE_燸 +$REPLACE_肫 +$REPLACE_忞 +$REPLACE_徭 +$REPLACE_贳 +$REPLACE_铕 +$REPLACE_縿 +$REPLACE_汊 +$REPLACE_湣 +$REPLACE_鼷 +$REPLACE_獬 +$REPLACE_丏 +$REPLACE_蓇 +$REPLACE_尪 +$REPLACE_羗 +$REPLACE_缁 +$REPLACE_筇 +$REPLACE_畷 +$REPLACE_勹 +$REPLACE_罾 +$REPLACE_栊 +$REPLACE_舻 +$REPLACE_淸 +$REPLACE_戽 +$REPLACE_旯 +$REPLACE_荬 +$REPLACE_芗 +$REPLACE_巯 +$REPLACE_勗 +$REPLACE_藦 +$REPLACE_祆 +$REPLACE_镒 +$REPLACE_偓 +$REPLACE_偲 +$REPLACE_𫘪 +$REPLACE_筢 +$REPLACE_砻 +$REPLACE_烜 +$REPLACE_葰 +$REPLACE_酆 +$REPLACE_晡 +$REPLACE_禑 +$REPLACE_痦 +$REPLACE_蛏 +$REPLACE_鋈 +$REPLACE_藨 +$REPLACE_梱 +$REPLACE_憙 +$REPLACE_拏 +$REPLACE_嫜 +$REPLACE_嚯 +$REPLACE_垓 +$REPLACE_畚 +$REPLACE_蛉 +$REPLACE_鄚 +$REPLACE_柰 +$REPLACE_甍 +$REPLACE_鬬 +$REPLACE_牖 +$REPLACE_镡 +$REPLACE_辋 +$REPLACE_笮 +$REPLACE_喼 +$REPLACE_眜 +$REPLACE_瘐 +$REPLACE_渫 +$REPLACE_倻 +$REPLACE_絜 +$REPLACE_绉 +$REPLACE_梣 +$REPLACE_宀 +$REPLACE_蒾 +$REPLACE_沔 +$REPLACE_讵 +$REPLACE_赍 +$REPLACE_瓠 +$REPLACE_洌 +$REPLACE_沚 +$REPLACE_玙 +$REPLACE_鯈 +$REPLACE_肀 +$REPLACE_赟 +$REPLACE_槔 +$REPLACE_黩 +$REPLACE_埝 +$REPLACE_蠲 +$REPLACE_苠 +$REPLACE_骢 +$REPLACE_蚧 +$REPLACE_檩 +$REPLACE_橛 +$REPLACE_侔 +$REPLACE_鲬 +$REPLACE_纛 +$REPLACE_汜 +$REPLACE_卬 +$REPLACE_璩 +$REPLACE_垤 +$REPLACE_镬 +$REPLACE_髡 +$REPLACE_狻 +$REPLACE_糁 +$REPLACE_哱 +$REPLACE_倨 +$REPLACE_旳 +$REPLACE_塱 +$REPLACE_妚 +$REPLACE_阼 +$REPLACE_黢 +$REPLACE_迕 +$REPLACE_秾 +$REPLACE_軚 +$REPLACE_浥 +$REPLACE_阒 +$REPLACE_诹 +$REPLACE_祏 +$REPLACE_郞 +$REPLACE_贽 +$REPLACE_卩 +$REPLACE_鵙 +$REPLACE_禳 +$REPLACE_舣 +$REPLACE_邲 +$REPLACE_礤 +$REPLACE_鹱 +$REPLACE_啐 +$REPLACE_柟 +$REPLACE_忾 +$REPLACE_桤 +$REPLACE_唿 +$REPLACE_璈 +$REPLACE_仂 +$REPLACE_糌 +$REPLACE_莛 +$REPLACE_奁 +$REPLACE_镓 +$REPLACE_鼇 +$REPLACE_蘅 +$REPLACE_棐 +$REPLACE_尜 +$REPLACE_鮻 +$REPLACE_锔 +$REPLACE_啯 +$REPLACE_阄 +$REPLACE_乇 +$REPLACE_蜩 +$REPLACE_柙 +$REPLACE_峠 +$REPLACE_脬 +$REPLACE_跫 +$REPLACE_忮 +$REPLACE_荭 +$REPLACE_钪 +$REPLACE_蜞 +$REPLACE_耱 +$REPLACE_飏 +$REPLACE_搛 +$REPLACE_僬 +$REPLACE_椟 +$REPLACE_劂 +$REPLACE_杻 +$REPLACE_蜑 +$REPLACE_絷 +$REPLACE_廨 +$REPLACE_屝 +$REPLACE_鼢 +$REPLACE_艄 +$REPLACE_抻 +$REPLACE_媪 +$REPLACE_琯 +$REPLACE_绠 +$REPLACE_鬯 +$REPLACE_氕 +$REPLACE_誊 +$REPLACE_燐 +$REPLACE_姘 +$REPLACE_轳 +$REPLACE_襀 +$REPLACE_朏 +$REPLACE_蛑 +$REPLACE_篯 +$REPLACE_傕 +$REPLACE_艉 +$REPLACE_餍 +$REPLACE_虿 +$REPLACE_嬝 +$REPLACE_椄 +$REPLACE_鄩 +$REPLACE_杙 +$REPLACE_漭 +$REPLACE_镦 +$REPLACE_扃 +$REPLACE_铳 +$REPLACE_瓌 +$REPLACE_匦 +$REPLACE_揲 +$REPLACE_遝 +$REPLACE_渟 +$REPLACE_昜 +$REPLACE_屘 +$REPLACE_缲 +$REPLACE_鼙 +$REPLACE_吿 +$REPLACE_罅 +$REPLACE_戋 +$REPLACE_莩 +$REPLACE_崘 +$REPLACE_寘 +$REPLACE_猢 +$REPLACE_鮈 +$REPLACE_蠊 +$REPLACE_墼 +$REPLACE_黪 +$REPLACE_柝 +$REPLACE_瓿 +$REPLACE_彀 +$REPLACE_毖 +$REPLACE_猁 +$REPLACE_仉 +$REPLACE_睚 +$REPLACE_雩 +$REPLACE_鋆 +$REPLACE_猹 +$REPLACE_鼍 +$REPLACE_穸 +$REPLACE_侩 +$REPLACE_曽 +$REPLACE_釪 +$REPLACE_誧 +$REPLACE_廾 +$REPLACE_狛 +$REPLACE_砀 +$REPLACE_廆 +$REPLACE_艨 +$REPLACE_癔 +$REPLACE_镝 +$REPLACE_㑩 +$REPLACE_罱 +$REPLACE_籥 +$REPLACE_壸 +$REPLACE_褊 +$REPLACE_彘 +$REPLACE_踽 +$REPLACE_琤 +$REPLACE_熜 +$REPLACE_厶 +$REPLACE_糀 +$REPLACE_楗 +$REPLACE_悰 +$REPLACE_煆 +$REPLACE_儇 +$REPLACE_峁 +$REPLACE_哷 +$REPLACE_鞔 +$REPLACE_麐 +$REPLACE_鬘 +$REPLACE_塲 +$REPLACE_樗 +$REPLACE_炱 +$REPLACE_笥 +$REPLACE_䜣 +$REPLACE_棻 +$REPLACE_糇 +$REPLACE_𫉄 +$REPLACE_瘥 +$REPLACE_碹 +$REPLACE_濙 +$REPLACE_绖 +$REPLACE_骒 +$REPLACE_鐪 +$REPLACE_泖 +$REPLACE_湎 +$REPLACE_罘 +$REPLACE_禟 +$REPLACE_啭 +$REPLACE_禊 +$REPLACE_锗 +$REPLACE_蝰 +$REPLACE_磴 +$REPLACE_芄 +$REPLACE_鞮 +$REPLACE_耧 +$REPLACE_芨 +$REPLACE_囯 +$REPLACE_鸱 +$REPLACE_蔹 +$REPLACE_璹 +$REPLACE_皤 +$REPLACE_阯 +$REPLACE_啁 +$REPLACE_鶸 +$REPLACE_亓 +$REPLACE_爀 +$REPLACE_幪 +$REPLACE_煺 +$REPLACE_锼 +$REPLACE_镩 +$REPLACE_镆 +$REPLACE_笫 +$REPLACE_菉 +$REPLACE_垧 +$REPLACE_诐 +$REPLACE_鹀 +$REPLACE_𫛞 +$REPLACE_闳 +$REPLACE_寔 +$REPLACE_觌 +$REPLACE_酴 +$REPLACE_袛 +$REPLACE_镞 +$REPLACE_轱 +$REPLACE_蹀 +$REPLACE_纟 +$REPLACE_懃 +$REPLACE_薜 +$REPLACE_陜 +$REPLACE_筼 +$REPLACE_圪 +$REPLACE_谳 +$REPLACE_旰 +$REPLACE_洇 +$REPLACE_镘 +$REPLACE_鱥 +$REPLACE_逋 +$REPLACE_蟥 +$REPLACE_锾 +$REPLACE_熳 +$REPLACE_濊 +$REPLACE_僳 +$REPLACE_乭 +$REPLACE_蛴 +$REPLACE_繙 +$REPLACE_遘 +$REPLACE_掾 +$REPLACE_锒 +$REPLACE_卣 +$REPLACE_撖 +$REPLACE_釭 +$REPLACE_藔 +$REPLACE_酦 +$REPLACE_夲 +$REPLACE_坬 +$REPLACE_謢 +$REPLACE_跏 +$REPLACE_觇 +$REPLACE_郇 +$REPLACE_塥 +$REPLACE_缦 +$REPLACE_朓 +$REPLACE_栲 +$REPLACE_垅 +$REPLACE_脔 +$REPLACE_潾 +$REPLACE_哚 +$REPLACE_鹗 +$REPLACE_亶 +$REPLACE_玆 +$REPLACE_廐 +$REPLACE_萜 +$REPLACE_疴 +$REPLACE_橥 +$REPLACE_鹡 +$REPLACE_蟓 +$REPLACE_陴 +$REPLACE_辶 +$REPLACE_椐 +$REPLACE_旒 +$REPLACE_菔 +$REPLACE_澴 +$REPLACE_仫 +$REPLACE_豨 +$REPLACE_隗 +$REPLACE_廋 +$REPLACE_淏 +$REPLACE_溻 +$REPLACE_呙 +$REPLACE_睃 +$REPLACE_搾 +$REPLACE_訚 +$REPLACE_蒎 +$REPLACE_犰 +$REPLACE_魋 +$REPLACE_鸰 +$REPLACE_刋 +$REPLACE_棼 +$REPLACE_愠 +$REPLACE_裉 +$REPLACE_坫 +$REPLACE_茔 +$REPLACE_芤 +$REPLACE_匄 +$REPLACE_嶝 +$REPLACE_裥 +$REPLACE_酲 +$REPLACE_莶 +$REPLACE_颙 +$REPLACE_磘 +$REPLACE_涊 +$REPLACE_馕 +$REPLACE_茀 +$REPLACE_嗵 +$REPLACE_峣 +$REPLACE_牻 +$REPLACE_伡 +$REPLACE_勍 +$REPLACE_伾 +$REPLACE_镙 +$REPLACE_掼 +$REPLACE_呖 +$REPLACE_洧 +$REPLACE_翮 +$REPLACE_鹮 +$REPLACE_邙 +$REPLACE_镤 +$REPLACE_玢 +$REPLACE_岽 +$REPLACE_揾 +$REPLACE_砠 +$REPLACE_氵 +$REPLACE_竑 +$REPLACE_皐 +$REPLACE_哖 +$REPLACE_廪 +$REPLACE_谰 +$REPLACE_毵 +$REPLACE_攵 +$REPLACE_缛 +$REPLACE_疒 +$REPLACE_憍 +$REPLACE_刖 +$REPLACE_猡 +$REPLACE_觼 +$REPLACE_硌 +$REPLACE_殍 +$REPLACE_艴 +$REPLACE_鬏 +$REPLACE_锬 +$REPLACE_璺 +$REPLACE_隰 +$REPLACE_妯 +$REPLACE_戤 +$REPLACE_辎 +$REPLACE_诳 +$REPLACE_龢 +$REPLACE_珽 +$REPLACE_渖 +$REPLACE_鏊 +$REPLACE_橾 +$REPLACE_鄮 +$REPLACE_甏 +$REPLACE_憝 +$REPLACE_簋 +$REPLACE_沄 +$REPLACE_伧 +$REPLACE_蓊 +$REPLACE_殚 +$REPLACE_榇 +$REPLACE_贶 +$REPLACE_捃 +$REPLACE_曛 +$REPLACE_陉 +$REPLACE_毬 +$REPLACE_碶 +$REPLACE_饣 +$REPLACE_蒈 +$REPLACE_栘 +$REPLACE_娈 +$REPLACE_狓 +$REPLACE_枨 +$REPLACE_珝 +$REPLACE_垻 +$REPLACE_撄 +$REPLACE_锱 +$REPLACE_苴 +$REPLACE_鄀 +$REPLACE_猱 +$REPLACE_鄠 +$REPLACE_燝 +$REPLACE_胨 +$REPLACE_酺 +$REPLACE_砉 +$REPLACE_毚 +$REPLACE_蕞 +$REPLACE_鲏 +$REPLACE_轺 +$REPLACE_冂 +$REPLACE_槺 +$REPLACE_聱 +$REPLACE_埒 +$REPLACE_颕 +$REPLACE_佾 +$REPLACE_煳 +$REPLACE_𫓧 +$REPLACE_鼽 +$REPLACE_繖 +$REPLACE_帙 +$REPLACE_撢 +$REPLACE_爿 +$REPLACE_夼 +$REPLACE_柽 +$REPLACE_嶷 +$REPLACE_堉 +$REPLACE_蕺 +$REPLACE_茈 +$REPLACE_瘅 +$REPLACE_鲗 +$REPLACE_垔 +$REPLACE_魣 +$REPLACE_疬 +$REPLACE_啣 +$REPLACE_茇 +$REPLACE_饔 +$REPLACE_诼 +$REPLACE_龠 +$REPLACE_犨 +$REPLACE_赇 +$REPLACE_镃 +$REPLACE_庳 +$REPLACE_畤 +$REPLACE_唢 +$REPLACE_敔 +$REPLACE_狷 +$REPLACE_忉 +$REPLACE_渕 +$REPLACE_箠 +$REPLACE_龃 +$REPLACE_廞 +$REPLACE_蟮 +$REPLACE_诮 +$REPLACE_髁 +$REPLACE_搋 +$REPLACE_筚 +$REPLACE_跸 +$REPLACE_嵝 +$REPLACE_傧 +$REPLACE_鲽 +$REPLACE_犽 +$REPLACE_曩 +$REPLACE_沘 +$REPLACE_蠵 +$REPLACE_洫 +$REPLACE_俶 +$REPLACE_逄 +$REPLACE_瘗 +$REPLACE_螣 +$REPLACE_胗 +$REPLACE_阏 +$REPLACE_鸹 +$REPLACE_馊 +$REPLACE_籀 +$REPLACE_漥 +$REPLACE_籣 +$REPLACE_鳒 +$REPLACE_骃 +$REPLACE_淍 +$REPLACE_笤 +$REPLACE_锃 +$REPLACE_蓰 +$REPLACE_铘 +$REPLACE_镟 +$REPLACE_玚 +$REPLACE_瑑 +$REPLACE_砘 +$REPLACE_泺 +$REPLACE_锞 +$REPLACE_鉼 +$REPLACE_瞀 +$REPLACE_痲 +$REPLACE_菑 +$REPLACE_黾 +$REPLACE_洚 +$REPLACE_媺 +$REPLACE_诖 +$REPLACE_羝 +$REPLACE_濞 +$REPLACE_榊 +$REPLACE_呑 +$REPLACE_谿 +$REPLACE_厓 +$REPLACE_冴 +$REPLACE_铴 +$REPLACE_鹋 +$REPLACE_靺 +$REPLACE_欤 +$REPLACE_牮 +$REPLACE_帔 +$REPLACE_滹 +$REPLACE_霤 +$REPLACE_啗 +$REPLACE_袢 +$REPLACE_妁 +$REPLACE_螓 +$REPLACE_砦 +$REPLACE_蛲 +$REPLACE_岢 +$REPLACE_邽 +$REPLACE_阍 +$REPLACE_畬 +$REPLACE_掞 +$REPLACE_倓 +$REPLACE_驺 +$REPLACE_炝 +$REPLACE_柃 +$REPLACE_伋 +$REPLACE_戆 +$REPLACE_鼱 +$REPLACE_祔 +$REPLACE_褛 +$REPLACE_屣 +$REPLACE_砬 +$REPLACE_阢 +$REPLACE_暻 +$REPLACE_愎 +$REPLACE_愬 +$REPLACE_暾 +$REPLACE_鞨 +$REPLACE_蘧 +$REPLACE_獯 +$REPLACE_蔟 +$REPLACE_纩 +$REPLACE_鄄 +$REPLACE_嫱 +$REPLACE_镠 +$REPLACE_栳 +$REPLACE_礑 +$REPLACE_鳜 +$REPLACE_棰 +$REPLACE_亠 +$REPLACE_瑷 +$REPLACE_撺 +$REPLACE_酂 +$REPLACE_卨 +$REPLACE_縯 +$REPLACE_璠 +$REPLACE_匚 +$REPLACE_溲 +$REPLACE_肭 +$REPLACE_缵 +$REPLACE_澚 +$REPLACE_岈 +$REPLACE_镈 +$REPLACE_塍 +$REPLACE_眄 +$REPLACE_襌 +$REPLACE_𫍙 +$REPLACE_詨 +$REPLACE_翚 +$REPLACE_洎 +$REPLACE_拶 +$REPLACE_坌 +$REPLACE_昄 +$REPLACE_崚 +$REPLACE_毪 +$REPLACE_箧 +$REPLACE_窆 +$REPLACE_疠 +$REPLACE_澪 +$REPLACE_蔌 +$REPLACE_鸺 +$REPLACE_垴 +$REPLACE_懔 +$REPLACE_毐 +$REPLACE_囓 +$REPLACE_坻 +$REPLACE_芣 +$REPLACE_赜 +$REPLACE_鯻 +$REPLACE_蓍 +$REPLACE_酞 +$REPLACE_滉 +$REPLACE_枥 +$REPLACE_箪 +$REPLACE_鲩 +$REPLACE_搆 +$REPLACE_卌 +$REPLACE_髑 +$REPLACE_锇 +$REPLACE_嵛 +$REPLACE_鲒 +$REPLACE_腚 +$REPLACE_坭 +$REPLACE_屺 +$REPLACE_蛩 +$REPLACE_簃 +$REPLACE_擧 +$REPLACE_毹 +$REPLACE_厍 +$REPLACE_癀 +$REPLACE_镪 +$REPLACE_𪟝 +$REPLACE_鍙 +$REPLACE_莸 +$REPLACE_栌 +$REPLACE_椙 +$REPLACE_玘 +$REPLACE_锖 +$REPLACE_僩 +$REPLACE_悝 +$REPLACE_圉 +$REPLACE_噫 +$REPLACE_镲 +$REPLACE_𫄶 +$REPLACE_醭 +$REPLACE_蚴 +$REPLACE_觚 +$REPLACE_疋 +$REPLACE_泔 +$REPLACE_鲰 +$REPLACE_廴 +$REPLACE_煚 +$REPLACE_觏 +$REPLACE_臌 +$REPLACE_黐 +$REPLACE_戥 +$REPLACE_噘 +$REPLACE_搴 +$REPLACE_濩 +$REPLACE_詟 +$REPLACE_茛 +$REPLACE_蘗 +$REPLACE_梿 +$REPLACE_汭 +$REPLACE_箜 +$REPLACE_濉 +$REPLACE_汍 +$REPLACE_蘩 +$REPLACE_锴 +$REPLACE_齄 +$REPLACE_弪 +$REPLACE_嗥 +$REPLACE_歜 +$REPLACE_朶 +$REPLACE_夤 +$REPLACE_廍 +$REPLACE_茘 +$REPLACE_捒 +$REPLACE_薮 +$REPLACE_凼 +$REPLACE_惝 +$REPLACE_膣 +$REPLACE_绺 +$REPLACE_谞 +$REPLACE_铥 +$REPLACE_葶 +$REPLACE_赑 +$REPLACE_迮 +$REPLACE_屦 +$REPLACE_轸 +$REPLACE_锊 +$REPLACE_冱 +$REPLACE_硇 +$REPLACE_趄 +$REPLACE_鱚 +$REPLACE_矬 +$REPLACE_钐 +$REPLACE_毳 +$REPLACE_缂 +$REPLACE_栝 +$REPLACE_诔 +$REPLACE_袼 +$REPLACE_禩 +$REPLACE_缬 +$REPLACE_艟 +$REPLACE_喑 +$REPLACE_渌 +$REPLACE_绂 +$REPLACE_榍 +$REPLACE_荜 +$REPLACE_滠 +$REPLACE_铖 +$REPLACE_亹 +$REPLACE_洳 +$REPLACE_恹 +$REPLACE_躅 +$REPLACE_鹬 +$REPLACE_嵚 +$REPLACE_嫒 +$REPLACE_勦 +$REPLACE_狨 +$REPLACE_拊 +$REPLACE_钲 +$REPLACE_澌 +$REPLACE_怊 +$REPLACE_嵙 +$REPLACE_埽 +$REPLACE_砩 +$REPLACE_锿 +$REPLACE_堦 +$REPLACE_瑱 +$REPLACE_庑 +$REPLACE_嘁 +$REPLACE_瑭 +$REPLACE_鋐 +$REPLACE_舨 +$REPLACE_鐡 +$REPLACE_谮 +$REPLACE_瓖 +$REPLACE_耑 +$REPLACE_鲠 +$REPLACE_𬬻 +$REPLACE_澉 +$REPLACE_鼯 +$REPLACE_偰 +$REPLACE_汧 +$REPLACE_濶 +$REPLACE_跗 +$REPLACE_悧 +$REPLACE_蓐 +$REPLACE_趼 +$REPLACE_髢 +$REPLACE_亍 +$REPLACE_踡 +$REPLACE_腧 +$REPLACE_锸 +$REPLACE_綝 +$REPLACE_犟 +$REPLACE_逦 +$REPLACE_噍 +$REPLACE_蚺 +$REPLACE_螟 +$REPLACE_蒌 +$REPLACE_隹 +$REPLACE_閦 +$REPLACE_髹 +$REPLACE_阃 +$REPLACE_潽 +$REPLACE_锛 +$REPLACE_泜 +$REPLACE_癍 +$REPLACE_狃 +$REPLACE_虺 +$REPLACE_聩 +$REPLACE_炘 +$REPLACE_硭 +$REPLACE_葸 +$REPLACE_鏻 +$REPLACE_楛 +$REPLACE_襞 +$REPLACE_冫 +$REPLACE_鸻 +$REPLACE_眇 +$REPLACE_溽 +$REPLACE_臁 +$REPLACE_芘 +$REPLACE_簟 +$REPLACE_缋 +$REPLACE_辂 +$REPLACE_蜉 +$REPLACE_龆 +$REPLACE_尥 +$REPLACE_垟 +$REPLACE_闱 +$REPLACE_鸶 +$REPLACE_蹯 +$REPLACE_髟 +$REPLACE_崮 +$REPLACE_矧 +$REPLACE_桴 +$REPLACE_捜 +$REPLACE_蔴 +$REPLACE_硖 +$REPLACE_哕 +$REPLACE_翕 +$REPLACE_淯 +$REPLACE_炟 +$REPLACE_铞 +$REPLACE_绲 +$REPLACE_糢 +$REPLACE_芑 +$REPLACE_畠 +$REPLACE_帻 +$REPLACE_幛 +$REPLACE_龀 +$REPLACE_忝 +$REPLACE_眚 +$REPLACE_餽 +$REPLACE_鲌 +$REPLACE_冁 +$REPLACE_栱 +$REPLACE_椴 +$REPLACE_盦 +$REPLACE_妗 +$REPLACE_褙 +$REPLACE_疎 +$REPLACE_蛞 +$REPLACE_跞 +$REPLACE_铼 +$REPLACE_唛 +$REPLACE_镏 +$REPLACE_翥 +$REPLACE_坩 +$REPLACE_韹 +$REPLACE_琹 +$REPLACE_跼 +$REPLACE_黧 +$REPLACE_菹 +$REPLACE_屙 +$REPLACE_罽 +$REPLACE_礻 +$REPLACE_摅 +$REPLACE_崱 +$REPLACE_沆 +$REPLACE_馘 +$REPLACE_亻 +$REPLACE_俵 +$REPLACE_蚍 +$REPLACE_皞 +$REPLACE_颃 +$REPLACE_鎓 +$REPLACE_圹 +$REPLACE_欷 +$REPLACE_榣 +$REPLACE_畧 +$REPLACE_鮡 +$REPLACE_焐 +$REPLACE_俣 +$REPLACE_窬 +$REPLACE_觫 +$REPLACE_鳂 +$REPLACE_搦 +$REPLACE_蠓 +$REPLACE_阬 +$REPLACE_悃 +$REPLACE_伲 +$REPLACE_煐 +$REPLACE_慜 +$REPLACE_唪 +$REPLACE_溆 +$REPLACE_搥 +$REPLACE_谡 +$REPLACE_縠 +$REPLACE_脎 +$REPLACE_蚰 +$REPLACE_溍 +$REPLACE_唭 +$REPLACE_劐 +$REPLACE_氩 +$REPLACE_谝 +$REPLACE_桫 +$REPLACE_耥 +$REPLACE_崐 +$REPLACE_傉 +$REPLACE_滪 +$REPLACE_蛸 +$REPLACE_缧 +$REPLACE_晅 +$REPLACE_垸 +$REPLACE_澔 +$REPLACE_彐 +$REPLACE_氇 +$REPLACE_痳 +$REPLACE_郿 +$REPLACE_虉 +$REPLACE_稂 +$REPLACE_暲 +$REPLACE_膪 +$REPLACE_勔 +$REPLACE_霪 +$REPLACE_抆 +$REPLACE_豭 +$REPLACE_牾 +$REPLACE_哿 +$REPLACE_杪 +$REPLACE_讦 +$REPLACE_髭 +$REPLACE_鬈 +$REPLACE_佧 +$REPLACE_铒 +$REPLACE_蠼 +$REPLACE_旼 +$REPLACE_滘 +$REPLACE_菥 +$REPLACE_劁 +$REPLACE_慥 +$REPLACE_逖 +$REPLACE_禔 +$REPLACE_揠 +$REPLACE_蠃 +$REPLACE_讃 +$REPLACE_竝 +$REPLACE_楙 +$REPLACE_栢 +$REPLACE_綮 +$REPLACE_篼 +$REPLACE_蝣 +$REPLACE_旵 +$REPLACE_萏 +$REPLACE_肷 +$REPLACE_皝 +$REPLACE_粢 +$REPLACE_彡 +$REPLACE_爌 +$REPLACE_瘿 +$REPLACE_胪 +$REPLACE_罴 +$REPLACE_氍 +$REPLACE_圬 +$REPLACE_恽 +$REPLACE_锪 +$REPLACE_俅 +$REPLACE_嗍 +$REPLACE_梾 +$REPLACE_蹁 +$REPLACE_喁 +$REPLACE_桊 +$REPLACE_昃 +$REPLACE_獍 +$REPLACE_泶 +$REPLACE_媵 +$REPLACE_墕 +$REPLACE_蟪 +$REPLACE_颎 +$REPLACE_觋 +$REPLACE_呔 +$REPLACE_鲣 +$REPLACE_瘉 +$REPLACE_凵 +$REPLACE_氽 +$REPLACE_昞 +$REPLACE_绗 +$REPLACE_崠 +$REPLACE_烺 +$REPLACE_茍 +$REPLACE_碥 +$REPLACE_躐 +$REPLACE_暁 +$REPLACE_苤 +$REPLACE_漤 +$REPLACE_嗾 +$REPLACE_卐 +$REPLACE_缍 +$REPLACE_盩 +$REPLACE_兕 +$REPLACE_碻 +$REPLACE_镱 +$REPLACE_鸮 +$REPLACE_镊 +$REPLACE_嵫 +$REPLACE_揿 +$REPLACE_鳐 +$REPLACE_殪 +$REPLACE_阝 +$REPLACE_鸬 +$REPLACE_凃 +$REPLACE_剡 +$REPLACE_铊 +$REPLACE_嬲 +$REPLACE_熘 +$REPLACE_迓 +$REPLACE_卺 +$REPLACE_佉 +$REPLACE_谠 +$REPLACE_裒 +$REPLACE_桄 +$REPLACE_剀 +$REPLACE_苊 +$REPLACE_敫 +$REPLACE_犴 +$REPLACE_凖 +$REPLACE_逯 +$REPLACE_痖 +$REPLACE_勷 +$REPLACE_猞 +$REPLACE_钶 +$REPLACE_莳 +$REPLACE_怛 +$REPLACE_釆 +$REPLACE_騒 +$REPLACE_篥 +$REPLACE_黟 +$REPLACE_芟 +$REPLACE_钆 +$REPLACE_鲚 +$REPLACE_苅 +$REPLACE_攉 +$REPLACE_胬 +$REPLACE_鄹 +$REPLACE_佴 +$REPLACE_褴 +$REPLACE_爝 +$REPLACE_塙 +$REPLACE_蜮 +$REPLACE_槙 +$REPLACE_鉏 +$REPLACE_褡 +$REPLACE_鳟 +$REPLACE_鑛 +$REPLACE_蒯 +$REPLACE_鳚 +$REPLACE_穏 +$REPLACE_跶 +$REPLACE_镧 +$REPLACE_姮 +$REPLACE_畎 +$REPLACE_宍 +$REPLACE_簖 +$REPLACE_廙 +$REPLACE_畈 +$REPLACE_辔 +$REPLACE_癃 +$REPLACE_摭 +$REPLACE_迵 +$REPLACE_泅 +$REPLACE_搧 +$REPLACE_湔 +$REPLACE_鳀 +$REPLACE_鯙 +$REPLACE_偾 +$REPLACE_衤 +$REPLACE_蛄 +$REPLACE_麈 +$REPLACE_巛 +$REPLACE_阌 +$REPLACE_赉 +$REPLACE_踬 +$REPLACE_鞴 +$REPLACE_豕 +$REPLACE_螽 +$REPLACE_桷 +$REPLACE_蹰 +$REPLACE_馐 +$REPLACE_椥 +$REPLACE_庋 +$REPLACE_昪 +$REPLACE_岍 +$REPLACE_铑 +$REPLACE_苌 +$REPLACE_髫 +$REPLACE_斝 +$REPLACE_嘐 +$REPLACE_珧 +$REPLACE_蝾 +$REPLACE_逑 +$REPLACE_箢 +$REPLACE_圮 +$REPLACE_牂 +$REPLACE_炤 +$REPLACE_劢 +$REPLACE_踔 +$REPLACE_甗 +$REPLACE_埚 +$REPLACE_粝 +$REPLACE_諲 +$REPLACE_箬 +$REPLACE_怃 +$REPLACE_嫠 +$REPLACE_耠 +$REPLACE_赙 +$REPLACE_觯 +$REPLACE_哙 +$REPLACE_诨 +$REPLACE_鲭 +$REPLACE_锓 +$REPLACE_熺 +$REPLACE_磉 +$REPLACE_鲕 +$REPLACE_踅 +$REPLACE_枞 +$REPLACE_櫂 +$REPLACE_鲐 +$REPLACE_睄 +$REPLACE_掭 +$REPLACE_龁 +$REPLACE_筌 +$REPLACE_埜 +$REPLACE_弐 +$REPLACE_菰 +$REPLACE_俛 +$REPLACE_甪 +$REPLACE_裎 +$REPLACE_瘃 +$REPLACE_洭 +$REPLACE_螅 +$REPLACE_垍 +$REPLACE_鸩 +$REPLACE_胼 +$REPLACE_彊 +$REPLACE_甓 +$REPLACE_鞯 +$REPLACE_鹨 +$REPLACE_葖 +$REPLACE_胙 +$REPLACE_啹 +$REPLACE_栻 +$REPLACE_鹇 +$REPLACE_愔 +$REPLACE_溞 +$REPLACE_倧 +$REPLACE_筅 +$REPLACE_浐 +$REPLACE_崃 +$REPLACE_吣 +$REPLACE_衎 +$REPLACE_愒 +$REPLACE_炆 +$REPLACE_沬 +$REPLACE_礐 +$REPLACE_垡 +$REPLACE_硏 +$REPLACE_嚆 +$REPLACE_瑢 +$REPLACE_悫 +$REPLACE_畊 +$REPLACE_铽 +$REPLACE_翀 +$REPLACE_芴 +$REPLACE_谂 +$REPLACE_鲾 +$REPLACE_瓟 +$REPLACE_裢 +$REPLACE_撘 +$REPLACE_鳋 +$REPLACE_鹟 +$REPLACE_缏 +$REPLACE_犭 +$REPLACE_箨 +$REPLACE_旆 +$REPLACE_榧 +$REPLACE_嬖 +$REPLACE_瘕 +$REPLACE_薷 +$REPLACE_猊 +$REPLACE_猓 +$REPLACE_垲 +$REPLACE_舯 +$REPLACE_揞 +$REPLACE_髙 +$REPLACE_貍 +$REPLACE_铍 +$REPLACE_哝 +$REPLACE_飡 +$REPLACE_砑 +$REPLACE_悭 +$REPLACE_锨 +$REPLACE_葑 +$REPLACE_跬 +$REPLACE_酽 +$REPLACE_紥 +$REPLACE_迳 +$REPLACE_衪 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+$APPEND_殊 +$APPEND_残 +$APPEND_殒 +$APPEND_殓 +$APPEND_殖 +$APPEND_殘 +$APPEND_殞 +$APPEND_殡 +$APPEND_殤 +$APPEND_殭 +$APPEND_殯 +$APPEND_殲 +$APPEND_殴 +$APPEND_段 +$APPEND_殷 +$APPEND_殺 +$APPEND_殼 +$APPEND_殿 +$APPEND_毀 +$APPEND_毁 +$APPEND_毂 +$APPEND_毅 +$APPEND_毆 +$APPEND_毋 +$APPEND_母 +$APPEND_毎 +$APPEND_每 +$APPEND_毒 +$APPEND_毓 +$APPEND_比 +$APPEND_毕 +$APPEND_毗 +$APPEND_毘 +$APPEND_毙 +$APPEND_毛 +$APPEND_毡 +$APPEND_毫 +$APPEND_毯 +$APPEND_毽 +$APPEND_氈 +$APPEND_氏 +$APPEND_氐 +$APPEND_民 +$APPEND_氓 +$APPEND_气 +$APPEND_氖 +$APPEND_気 +$APPEND_氙 +$APPEND_氛 +$APPEND_氟 +$APPEND_氡 +$APPEND_氢 +$APPEND_氣 +$APPEND_氤 +$APPEND_氦 +$APPEND_氧 +$APPEND_氨 +$APPEND_氪 +$APPEND_氫 +$APPEND_氮 +$APPEND_氯 +$APPEND_氰 +$APPEND_氲 +$APPEND_水 +$APPEND_氷 +$APPEND_永 +$APPEND_氹 +$APPEND_氾 +$APPEND_汀 +$APPEND_汁 +$APPEND_求 +$APPEND_汆 +$APPEND_汇 +$APPEND_汉 +$APPEND_汎 +$APPEND_汐 +$APPEND_汕 +$APPEND_汗 +$APPEND_汙 +$APPEND_汛 +$APPEND_汝 +$APPEND_汞 +$APPEND_江 +$APPEND_池 +$APPEND_污 +$APPEND_汤 +$APPEND_汨 +$APPEND_汩 +$APPEND_汪 +$APPEND_汰 +$APPEND_汲 +$APPEND_汴 +$APPEND_汶 +$APPEND_汹 +$APPEND_決 +$APPEND_汽 +$APPEND_汾 +$APPEND_沁 +$APPEND_沂 +$APPEND_沃 +$APPEND_沅 +$APPEND_沈 +$APPEND_沉 +$APPEND_沌 +$APPEND_沏 +$APPEND_沐 +$APPEND_沒 +$APPEND_沓 +$APPEND_沖 +$APPEND_沙 +$APPEND_沛 +$APPEND_沟 +$APPEND_没 +$APPEND_沢 +$APPEND_沣 +$APPEND_沥 +$APPEND_沦 +$APPEND_沧 +$APPEND_沪 +$APPEND_沫 +$APPEND_沭 +$APPEND_沮 +$APPEND_沱 +$APPEND_河 +$APPEND_沸 +$APPEND_油 +$APPEND_治 +$APPEND_沼 +$APPEND_沽 +$APPEND_沾 +$APPEND_沿 +$APPEND_況 +$APPEND_泄 +$APPEND_泉 +$APPEND_泊 +$APPEND_泌 +$APPEND_泓 +$APPEND_法 +$APPEND_泗 +$APPEND_泛 +$APPEND_泞 +$APPEND_泠 +$APPEND_泡 +$APPEND_波 +$APPEND_泣 +$APPEND_泥 +$APPEND_注 +$APPEND_泪 +$APPEND_泫 +$APPEND_泮 +$APPEND_泯 +$APPEND_泰 +$APPEND_泱 +$APPEND_泳 +$APPEND_泵 +$APPEND_泷 +$APPEND_泸 +$APPEND_泻 +$APPEND_泼 +$APPEND_泽 +$APPEND_泾 +$APPEND_洁 +$APPEND_洄 +$APPEND_洋 +$APPEND_洒 +$APPEND_洗 +$APPEND_洙 +$APPEND_洛 +$APPEND_洞 +$APPEND_津 +$APPEND_洩 +$APPEND_洪 +$APPEND_洮 +$APPEND_洱 +$APPEND_洲 +$APPEND_洵 +$APPEND_洶 +$APPEND_洸 +$APPEND_洹 +$APPEND_活 +$APPEND_洼 +$APPEND_洽 +$APPEND_派 +$APPEND_流 +$APPEND_浃 +$APPEND_浄 +$APPEND_浅 +$APPEND_浆 +$APPEND_浇 +$APPEND_浊 +$APPEND_测 +$APPEND_济 +$APPEND_浏 +$APPEND_浑 +$APPEND_浒 +$APPEND_浓 +$APPEND_浔 +$APPEND_浙 +$APPEND_浚 +$APPEND_浜 +$APPEND_浣 +$APPEND_浦 +$APPEND_浩 +$APPEND_浪 +$APPEND_浬 +$APPEND_浮 +$APPEND_浯 +$APPEND_浴 +$APPEND_海 +$APPEND_浸 +$APPEND_涂 +$APPEND_涅 +$APPEND_涇 +$APPEND_消 +$APPEND_涉 +$APPEND_涌 +$APPEND_涎 +$APPEND_涓 +$APPEND_涔 +$APPEND_涕 +$APPEND_涙 +$APPEND_涛 +$APPEND_涝 +$APPEND_涞 +$APPEND_涟 +$APPEND_涠 +$APPEND_涡 +$APPEND_涣 +$APPEND_涤 +$APPEND_润 +$APPEND_涧 +$APPEND_涨 +$APPEND_涩 +$APPEND_涪 +$APPEND_涮 +$APPEND_涯 +$APPEND_液 +$APPEND_涵 +$APPEND_涸 +$APPEND_涼 +$APPEND_涿 +$APPEND_淀 +$APPEND_淄 +$APPEND_淅 +$APPEND_淆 +$APPEND_淇 +$APPEND_淋 +$APPEND_淌 +$APPEND_淑 +$APPEND_淒 +$APPEND_淖 +$APPEND_淘 +$APPEND_淙 +$APPEND_淚 +$APPEND_淞 +$APPEND_淡 +$APPEND_淤 +$APPEND_淦 +$APPEND_淨 +$APPEND_淩 +$APPEND_淪 +$APPEND_淫 +$APPEND_淬 +$APPEND_淮 +$APPEND_深 +$APPEND_淳 +$APPEND_淵 +$APPEND_混 +$APPEND_淹 +$APPEND_淺 +$APPEND_添 +$APPEND_淼 +$APPEND_清 +$APPEND_済 +$APPEND_渉 +$APPEND_渊 +$APPEND_渋 +$APPEND_渍 +$APPEND_渎 +$APPEND_渐 +$APPEND_渔 +$APPEND_渗 +$APPEND_渙 +$APPEND_渚 +$APPEND_減 +$APPEND_渝 +$APPEND_渠 +$APPEND_渡 +$APPEND_渣 +$APPEND_渤 +$APPEND_渥 +$APPEND_渦 +$APPEND_温 +$APPEND_測 +$APPEND_渭 +$APPEND_港 +$APPEND_渲 +$APPEND_渴 +$APPEND_游 +$APPEND_渺 +$APPEND_渾 +$APPEND_湃 +$APPEND_湄 +$APPEND_湊 +$APPEND_湍 +$APPEND_湖 +$APPEND_湘 +$APPEND_湛 +$APPEND_湟 +$APPEND_湧 +$APPEND_湫 +$APPEND_湮 +$APPEND_湯 +$APPEND_湳 +$APPEND_湾 +$APPEND_湿 +$APPEND_満 +$APPEND_溃 +$APPEND_溅 +$APPEND_溉 +$APPEND_溏 +$APPEND_源 +$APPEND_準 +$APPEND_溜 +$APPEND_溝 +$APPEND_溟 +$APPEND_溢 +$APPEND_溥 +$APPEND_溧 +$APPEND_溪 +$APPEND_溫 +$APPEND_溯 +$APPEND_溱 +$APPEND_溴 +$APPEND_溶 +$APPEND_溺 +$APPEND_溼 +$APPEND_滁 +$APPEND_滂 +$APPEND_滄 +$APPEND_滅 +$APPEND_滇 +$APPEND_滋 +$APPEND_滌 +$APPEND_滑 +$APPEND_滓 +$APPEND_滔 +$APPEND_滕 +$APPEND_滙 +$APPEND_滚 +$APPEND_滝 +$APPEND_滞 +$APPEND_滟 +$APPEND_满 +$APPEND_滢 +$APPEND_滤 +$APPEND_滥 +$APPEND_滦 +$APPEND_滨 +$APPEND_滩 +$APPEND_滬 +$APPEND_滯 +$APPEND_滲 +$APPEND_滴 +$APPEND_滷 +$APPEND_滸 +$APPEND_滾 +$APPEND_滿 +$APPEND_漁 +$APPEND_漂 +$APPEND_漆 +$APPEND_漉 +$APPEND_漏 +$APPEND_漓 +$APPEND_演 +$APPEND_漕 +$APPEND_漠 +$APPEND_漢 +$APPEND_漣 +$APPEND_漩 +$APPEND_漪 +$APPEND_漫 +$APPEND_漬 +$APPEND_漯 +$APPEND_漱 +$APPEND_漲 +$APPEND_漳 +$APPEND_漸 +$APPEND_漾 +$APPEND_漿 +$APPEND_潆 +$APPEND_潇 +$APPEND_潋 +$APPEND_潍 +$APPEND_潑 +$APPEND_潔 +$APPEND_潘 +$APPEND_潛 +$APPEND_潜 +$APPEND_潞 +$APPEND_潟 +$APPEND_潢 +$APPEND_潤 +$APPEND_潦 +$APPEND_潧 +$APPEND_潭 +$APPEND_潮 +$APPEND_潰 +$APPEND_潴 +$APPEND_潸 +$APPEND_潺 +$APPEND_潼 +$APPEND_澀 +$APPEND_澄 +$APPEND_澆 +$APPEND_澈 +$APPEND_澍 +$APPEND_澎 +$APPEND_澗 +$APPEND_澜 +$APPEND_澡 +$APPEND_澤 +$APPEND_澧 +$APPEND_澱 +$APPEND_澳 +$APPEND_澹 +$APPEND_激 +$APPEND_濁 +$APPEND_濂 +$APPEND_濃 +$APPEND_濑 +$APPEND_濒 +$APPEND_濕 +$APPEND_濘 +$APPEND_濛 +$APPEND_濟 +$APPEND_濠 +$APPEND_濡 +$APPEND_濤 +$APPEND_濫 +$APPEND_濬 +$APPEND_濮 +$APPEND_濯 +$APPEND_濱 +$APPEND_濺 +$APPEND_濾 +$APPEND_瀅 +$APPEND_瀆 +$APPEND_瀉 +$APPEND_瀋 +$APPEND_瀏 +$APPEND_瀑 +$APPEND_瀕 +$APPEND_瀘 +$APPEND_瀚 +$APPEND_瀛 +$APPEND_瀝 +$APPEND_瀞 +$APPEND_瀟 +$APPEND_瀧 +$APPEND_瀨 +$APPEND_瀬 +$APPEND_瀰 +$APPEND_瀾 +$APPEND_灌 +$APPEND_灏 +$APPEND_灑 +$APPEND_灘 +$APPEND_灝 +$APPEND_灞 +$APPEND_灣 +$APPEND_火 +$APPEND_灬 +$APPEND_灭 +$APPEND_灯 +$APPEND_灰 +$APPEND_灵 +$APPEND_灶 +$APPEND_灸 +$APPEND_灼 +$APPEND_災 +$APPEND_灾 +$APPEND_灿 +$APPEND_炀 +$APPEND_炁 +$APPEND_炅 +$APPEND_炉 +$APPEND_炊 +$APPEND_炎 +$APPEND_炒 +$APPEND_炔 +$APPEND_炕 +$APPEND_炖 +$APPEND_炙 +$APPEND_炜 +$APPEND_炫 +$APPEND_炬 +$APPEND_炭 +$APPEND_炮 +$APPEND_炯 +$APPEND_炳 +$APPEND_炷 +$APPEND_炸 +$APPEND_点 +$APPEND_為 +$APPEND_炼 +$APPEND_炽 +$APPEND_烁 +$APPEND_烂 +$APPEND_烃 +$APPEND_烈 +$APPEND_烊 +$APPEND_烏 +$APPEND_烘 +$APPEND_烙 +$APPEND_烛 +$APPEND_烟 +$APPEND_烤 +$APPEND_烦 +$APPEND_烧 +$APPEND_烨 +$APPEND_烩 +$APPEND_烫 +$APPEND_烬 +$APPEND_热 +$APPEND_烯 +$APPEND_烷 +$APPEND_烹 +$APPEND_烽 +$APPEND_焉 +$APPEND_焊 +$APPEND_焕 +$APPEND_焖 +$APPEND_焗 +$APPEND_焘 +$APPEND_焙 +$APPEND_焚 +$APPEND_焜 +$APPEND_無 +$APPEND_焦 +$APPEND_焯 +$APPEND_焰 +$APPEND_焱 +$APPEND_然 +$APPEND_焼 +$APPEND_煅 +$APPEND_煉 +$APPEND_煊 +$APPEND_煌 +$APPEND_煎 +$APPEND_煒 +$APPEND_煖 +$APPEND_煙 +$APPEND_煜 +$APPEND_煞 +$APPEND_煤 +$APPEND_煥 +$APPEND_煦 +$APPEND_照 +$APPEND_煨 +$APPEND_煩 +$APPEND_煮 +$APPEND_煲 +$APPEND_煸 +$APPEND_煽 +$APPEND_熄 +$APPEND_熊 +$APPEND_熏 +$APPEND_熒 +$APPEND_熔 +$APPEND_熙 +$APPEND_熟 +$APPEND_熠 +$APPEND_熨 +$APPEND_熬 +$APPEND_熱 +$APPEND_熵 +$APPEND_熹 +$APPEND_熾 +$APPEND_燁 +$APPEND_燃 +$APPEND_燄 +$APPEND_燈 +$APPEND_燉 +$APPEND_燊 +$APPEND_燎 +$APPEND_燒 +$APPEND_燔 +$APPEND_燕 +$APPEND_燙 +$APPEND_燜 +$APPEND_營 +$APPEND_燥 +$APPEND_燦 +$APPEND_燧 +$APPEND_燭 +$APPEND_燮 +$APPEND_燴 +$APPEND_燻 +$APPEND_燼 +$APPEND_燿 +$APPEND_爆 +$APPEND_爍 +$APPEND_爐 +$APPEND_爛 +$APPEND_爪 +$APPEND_爬 +$APPEND_爭 +$APPEND_爰 +$APPEND_爱 +$APPEND_爲 +$APPEND_爵 +$APPEND_父 +$APPEND_爷 +$APPEND_爸 +$APPEND_爹 +$APPEND_爺 +$APPEND_爻 +$APPEND_爽 +$APPEND_爾 +$APPEND_牆 +$APPEND_片 +$APPEND_版 +$APPEND_牌 +$APPEND_牍 +$APPEND_牒 +$APPEND_牙 +$APPEND_牛 +$APPEND_牝 +$APPEND_牟 +$APPEND_牠 +$APPEND_牡 +$APPEND_牢 +$APPEND_牦 +$APPEND_牧 +$APPEND_物 +$APPEND_牯 +$APPEND_牲 +$APPEND_牴 +$APPEND_牵 +$APPEND_特 +$APPEND_牺 +$APPEND_牽 +$APPEND_犀 +$APPEND_犁 +$APPEND_犄 +$APPEND_犊 +$APPEND_犍 +$APPEND_犒 +$APPEND_犢 +$APPEND_犧 +$APPEND_犬 +$APPEND_犯 +$APPEND_状 +$APPEND_犷 +$APPEND_犸 +$APPEND_犹 +$APPEND_狀 +$APPEND_狂 +$APPEND_狄 +$APPEND_狈 +$APPEND_狎 +$APPEND_狐 +$APPEND_狒 +$APPEND_狗 +$APPEND_狙 +$APPEND_狞 +$APPEND_狠 +$APPEND_狡 +$APPEND_狩 +$APPEND_独 +$APPEND_狭 +$APPEND_狮 +$APPEND_狰 +$APPEND_狱 +$APPEND_狸 +$APPEND_狹 +$APPEND_狼 +$APPEND_狽 +$APPEND_猎 +$APPEND_猕 +$APPEND_猖 +$APPEND_猗 +$APPEND_猙 +$APPEND_猛 +$APPEND_猜 +$APPEND_猝 +$APPEND_猥 +$APPEND_猩 +$APPEND_猪 +$APPEND_猫 +$APPEND_猬 +$APPEND_献 +$APPEND_猴 +$APPEND_猶 +$APPEND_猷 +$APPEND_猾 +$APPEND_猿 +$APPEND_獄 +$APPEND_獅 +$APPEND_獎 +$APPEND_獐 +$APPEND_獒 +$APPEND_獗 +$APPEND_獠 +$APPEND_獣 +$APPEND_獨 +$APPEND_獭 +$APPEND_獰 +$APPEND_獲 +$APPEND_獵 +$APPEND_獷 +$APPEND_獸 +$APPEND_獺 +$APPEND_獻 +$APPEND_獼 +$APPEND_獾 +$APPEND_玄 +$APPEND_率 +$APPEND_玉 +$APPEND_王 +$APPEND_玑 +$APPEND_玖 +$APPEND_玛 +$APPEND_玟 +$APPEND_玠 +$APPEND_玥 +$APPEND_玩 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+$APPEND_璽 +$APPEND_璿 +$APPEND_瓊 +$APPEND_瓏 +$APPEND_瓒 +$APPEND_瓜 +$APPEND_瓢 +$APPEND_瓣 +$APPEND_瓤 +$APPEND_瓦 +$APPEND_瓮 +$APPEND_瓯 +$APPEND_瓴 +$APPEND_瓶 +$APPEND_瓷 +$APPEND_甄 +$APPEND_甌 +$APPEND_甕 +$APPEND_甘 +$APPEND_甙 +$APPEND_甚 +$APPEND_甜 +$APPEND_生 +$APPEND_產 +$APPEND_産 +$APPEND_甥 +$APPEND_甦 +$APPEND_用 +$APPEND_甩 +$APPEND_甫 +$APPEND_甬 +$APPEND_甭 +$APPEND_甯 +$APPEND_田 +$APPEND_由 +$APPEND_甲 +$APPEND_申 +$APPEND_电 +$APPEND_男 +$APPEND_甸 +$APPEND_町 +$APPEND_画 +$APPEND_甾 +$APPEND_畀 +$APPEND_畅 +$APPEND_界 +$APPEND_畏 +$APPEND_畑 +$APPEND_畔 +$APPEND_留 +$APPEND_畜 +$APPEND_畝 +$APPEND_畢 +$APPEND_略 +$APPEND_畦 +$APPEND_番 +$APPEND_畫 +$APPEND_異 +$APPEND_畲 +$APPEND_畳 +$APPEND_畴 +$APPEND_當 +$APPEND_畸 +$APPEND_畹 +$APPEND_畿 +$APPEND_疆 +$APPEND_疇 +$APPEND_疊 +$APPEND_疏 +$APPEND_疑 +$APPEND_疔 +$APPEND_疖 +$APPEND_疗 +$APPEND_疙 +$APPEND_疚 +$APPEND_疝 +$APPEND_疟 +$APPEND_疡 +$APPEND_疣 +$APPEND_疤 +$APPEND_疥 +$APPEND_疫 +$APPEND_疮 +$APPEND_疯 +$APPEND_疱 +$APPEND_疲 +$APPEND_疳 +$APPEND_疵 +$APPEND_疸 +$APPEND_疹 +$APPEND_疼 +$APPEND_疽 +$APPEND_疾 +$APPEND_痂 +$APPEND_病 +$APPEND_症 +$APPEND_痈 +$APPEND_痉 +$APPEND_痊 +$APPEND_痍 +$APPEND_痒 +$APPEND_痔 +$APPEND_痕 +$APPEND_痘 +$APPEND_痙 +$APPEND_痛 +$APPEND_痞 +$APPEND_痠 +$APPEND_痢 +$APPEND_痣 +$APPEND_痤 +$APPEND_痧 +$APPEND_痨 +$APPEND_痪 +$APPEND_痫 +$APPEND_痰 +$APPEND_痱 +$APPEND_痴 +$APPEND_痹 +$APPEND_痺 +$APPEND_痼 +$APPEND_痿 +$APPEND_瘀 +$APPEND_瘁 +$APPEND_瘋 +$APPEND_瘍 +$APPEND_瘓 +$APPEND_瘘 +$APPEND_瘙 +$APPEND_瘟 +$APPEND_瘠 +$APPEND_瘡 +$APPEND_瘢 +$APPEND_瘤 +$APPEND_瘦 +$APPEND_瘧 +$APPEND_瘩 +$APPEND_瘪 +$APPEND_瘫 +$APPEND_瘴 +$APPEND_瘸 +$APPEND_瘾 +$APPEND_療 +$APPEND_癇 +$APPEND_癌 +$APPEND_癒 +$APPEND_癖 +$APPEND_癜 +$APPEND_癞 +$APPEND_癡 +$APPEND_癢 +$APPEND_癣 +$APPEND_癥 +$APPEND_癫 +$APPEND_癬 +$APPEND_癮 +$APPEND_癱 +$APPEND_癲 +$APPEND_癸 +$APPEND_発 +$APPEND_登 +$APPEND_發 +$APPEND_白 +$APPEND_百 +$APPEND_皂 +$APPEND_的 +$APPEND_皆 +$APPEND_皇 +$APPEND_皈 +$APPEND_皋 +$APPEND_皎 +$APPEND_皑 +$APPEND_皓 +$APPEND_皖 +$APPEND_皙 +$APPEND_皚 +$APPEND_皮 +$APPEND_皰 +$APPEND_皱 +$APPEND_皴 +$APPEND_皺 +$APPEND_皿 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+$APPEND_聯 +$APPEND_聰 +$APPEND_聲 +$APPEND_聳 +$APPEND_聴 +$APPEND_聶 +$APPEND_職 +$APPEND_聽 +$APPEND_聾 +$APPEND_聿 +$APPEND_肃 +$APPEND_肄 +$APPEND_肅 +$APPEND_肆 +$APPEND_肇 +$APPEND_肉 +$APPEND_肋 +$APPEND_肌 +$APPEND_肏 +$APPEND_肓 +$APPEND_肖 +$APPEND_肘 +$APPEND_肚 +$APPEND_肛 +$APPEND_肝 +$APPEND_肠 +$APPEND_股 +$APPEND_肢 +$APPEND_肤 +$APPEND_肥 +$APPEND_肩 +$APPEND_肪 +$APPEND_肮 +$APPEND_肯 +$APPEND_肱 +$APPEND_育 +$APPEND_肴 +$APPEND_肺 +$APPEND_肽 +$APPEND_肾 +$APPEND_肿 +$APPEND_胀 +$APPEND_胁 +$APPEND_胃 +$APPEND_胄 +$APPEND_胆 +$APPEND_背 +$APPEND_胍 +$APPEND_胎 +$APPEND_胖 +$APPEND_胚 +$APPEND_胛 +$APPEND_胜 +$APPEND_胝 +$APPEND_胞 +$APPEND_胡 +$APPEND_胤 +$APPEND_胥 +$APPEND_胧 +$APPEND_胫 +$APPEND_胭 +$APPEND_胯 +$APPEND_胰 +$APPEND_胱 +$APPEND_胳 +$APPEND_胴 +$APPEND_胶 +$APPEND_胸 +$APPEND_胺 +$APPEND_能 +$APPEND_脂 +$APPEND_脅 +$APPEND_脆 +$APPEND_脇 +$APPEND_脈 +$APPEND_脉 +$APPEND_脊 +$APPEND_脍 +$APPEND_脏 +$APPEND_脐 +$APPEND_脑 +$APPEND_脓 +$APPEND_脖 +$APPEND_脘 +$APPEND_脚 +$APPEND_脛 +$APPEND_脣 +$APPEND_脩 +$APPEND_脫 +$APPEND_脯 +$APPEND_脱 +$APPEND_脲 +$APPEND_脳 +$APPEND_脸 +$APPEND_脹 +$APPEND_脾 +$APPEND_腆 +$APPEND_腈 +$APPEND_腊 +$APPEND_腋 +$APPEND_腌 +$APPEND_腎 +$APPEND_腐 +$APPEND_腑 +$APPEND_腓 +$APPEND_腔 +$APPEND_腕 +$APPEND_腥 +$APPEND_腦 +$APPEND_腩 +$APPEND_腫 +$APPEND_腭 +$APPEND_腮 +$APPEND_腰 +$APPEND_腱 +$APPEND_腳 +$APPEND_腴 +$APPEND_腸 +$APPEND_腹 +$APPEND_腺 +$APPEND_腻 +$APPEND_腼 +$APPEND_腾 +$APPEND_腿 +$APPEND_膀 +$APPEND_膈 +$APPEND_膊 +$APPEND_膏 +$APPEND_膑 +$APPEND_膘 +$APPEND_膚 +$APPEND_膛 +$APPEND_膜 +$APPEND_膝 +$APPEND_膠 +$APPEND_膦 +$APPEND_膨 +$APPEND_膩 +$APPEND_膳 +$APPEND_膺 +$APPEND_膻 +$APPEND_膽 +$APPEND_膾 +$APPEND_膿 +$APPEND_臀 +$APPEND_臂 +$APPEND_臃 +$APPEND_臆 +$APPEND_臉 +$APPEND_臊 +$APPEND_臍 +$APPEND_臓 +$APPEND_臘 +$APPEND_臟 +$APPEND_臣 +$APPEND_臥 +$APPEND_臧 +$APPEND_臨 +$APPEND_自 +$APPEND_臬 +$APPEND_臭 +$APPEND_至 +$APPEND_致 +$APPEND_臺 +$APPEND_臻 +$APPEND_臼 +$APPEND_臾 +$APPEND_舀 +$APPEND_舂 +$APPEND_舅 +$APPEND_舆 +$APPEND_與 +$APPEND_興 +$APPEND_舉 +$APPEND_舊 +$APPEND_舌 +$APPEND_舍 +$APPEND_舎 +$APPEND_舐 +$APPEND_舒 +$APPEND_舔 +$APPEND_舖 +$APPEND_舗 +$APPEND_舛 +$APPEND_舜 +$APPEND_舞 +$APPEND_舟 +$APPEND_航 +$APPEND_舫 +$APPEND_般 +$APPEND_舰 +$APPEND_舱 +$APPEND_舵 +$APPEND_舶 +$APPEND_舷 +$APPEND_舸 +$APPEND_船 +$APPEND_舺 +$APPEND_舾 +$APPEND_艇 +$APPEND_艋 +$APPEND_艘 +$APPEND_艙 +$APPEND_艦 +$APPEND_艮 +$APPEND_良 +$APPEND_艰 +$APPEND_艱 +$APPEND_色 +$APPEND_艳 +$APPEND_艷 +$APPEND_艹 +$APPEND_艺 +$APPEND_艾 +$APPEND_节 +$APPEND_芃 +$APPEND_芈 +$APPEND_芊 +$APPEND_芋 +$APPEND_芍 +$APPEND_芎 +$APPEND_芒 +$APPEND_芙 +$APPEND_芜 +$APPEND_芝 +$APPEND_芡 +$APPEND_芥 +$APPEND_芦 +$APPEND_芩 +$APPEND_芪 +$APPEND_芫 +$APPEND_芬 +$APPEND_芭 +$APPEND_芮 +$APPEND_芯 +$APPEND_花 +$APPEND_芳 +$APPEND_芷 +$APPEND_芸 +$APPEND_芹 +$APPEND_芻 +$APPEND_芽 +$APPEND_芾 +$APPEND_苁 +$APPEND_苄 +$APPEND_苇 +$APPEND_苋 +$APPEND_苍 +$APPEND_苏 +$APPEND_苑 +$APPEND_苒 +$APPEND_苓 +$APPEND_苔 +$APPEND_苕 +$APPEND_苗 +$APPEND_苛 +$APPEND_苜 +$APPEND_苞 +$APPEND_苟 +$APPEND_苡 +$APPEND_苣 +$APPEND_若 +$APPEND_苦 +$APPEND_苫 +$APPEND_苯 +$APPEND_英 +$APPEND_苷 +$APPEND_苹 +$APPEND_苻 +$APPEND_茁 +$APPEND_茂 +$APPEND_范 +$APPEND_茄 +$APPEND_茅 +$APPEND_茉 +$APPEND_茎 +$APPEND_茏 +$APPEND_茗 +$APPEND_茜 +$APPEND_茧 +$APPEND_茨 +$APPEND_茫 +$APPEND_茬 +$APPEND_茭 +$APPEND_茯 +$APPEND_茱 +$APPEND_茲 +$APPEND_茴 +$APPEND_茵 +$APPEND_茶 +$APPEND_茸 +$APPEND_茹 +$APPEND_茼 +$APPEND_荀 +$APPEND_荃 +$APPEND_荆 +$APPEND_草 +$APPEND_荊 +$APPEND_荏 +$APPEND_荐 +$APPEND_荒 +$APPEND_荔 +$APPEND_荖 +$APPEND_荘 +$APPEND_荚 +$APPEND_荞 +$APPEND_荟 +$APPEND_荠 +$APPEND_荡 +$APPEND_荣 +$APPEND_荤 +$APPEND_荥 +$APPEND_荧 +$APPEND_荨 +$APPEND_荪 +$APPEND_荫 +$APPEND_药 +$APPEND_荳 +$APPEND_荷 +$APPEND_荸 +$APPEND_荻 +$APPEND_荼 +$APPEND_荽 +$APPEND_莅 +$APPEND_莆 +$APPEND_莉 +$APPEND_莊 +$APPEND_莎 +$APPEND_莒 +$APPEND_莓 +$APPEND_莖 +$APPEND_莘 +$APPEND_莞 +$APPEND_莠 +$APPEND_莢 +$APPEND_莧 +$APPEND_莪 +$APPEND_莫 +$APPEND_莱 +$APPEND_莲 +$APPEND_莴 +$APPEND_获 +$APPEND_莹 +$APPEND_莺 +$APPEND_莽 +$APPEND_莿 +$APPEND_菀 +$APPEND_菁 +$APPEND_菅 +$APPEND_菇 +$APPEND_菈 +$APPEND_菊 +$APPEND_菌 +$APPEND_菏 +$APPEND_菓 +$APPEND_菖 +$APPEND_菘 +$APPEND_菜 +$APPEND_菟 +$APPEND_菠 +$APPEND_菡 +$APPEND_菩 +$APPEND_華 +$APPEND_菱 +$APPEND_菲 +$APPEND_菸 +$APPEND_菽 +$APPEND_萁 +$APPEND_萃 +$APPEND_萄 +$APPEND_萊 +$APPEND_萋 +$APPEND_萌 +$APPEND_萍 +$APPEND_萎 +$APPEND_萘 +$APPEND_萝 +$APPEND_萤 +$APPEND_营 +$APPEND_萦 +$APPEND_萧 +$APPEND_萨 +$APPEND_萩 +$APPEND_萬 +$APPEND_萱 +$APPEND_萵 +$APPEND_萸 +$APPEND_萼 +$APPEND_落 +$APPEND_葆 +$APPEND_葉 +$APPEND_著 +$APPEND_葚 +$APPEND_葛 +$APPEND_葡 +$APPEND_董 +$APPEND_葦 +$APPEND_葩 +$APPEND_葫 +$APPEND_葬 +$APPEND_葭 +$APPEND_葯 +$APPEND_葱 +$APPEND_葳 +$APPEND_葵 +$APPEND_葷 +$APPEND_葺 +$APPEND_蒂 +$APPEND_蒋 +$APPEND_蒐 +$APPEND_蒔 +$APPEND_蒙 +$APPEND_蒜 +$APPEND_蒞 +$APPEND_蒟 +$APPEND_蒡 +$APPEND_蒨 +$APPEND_蒲 +$APPEND_蒸 +$APPEND_蒹 +$APPEND_蒻 +$APPEND_蒼 +$APPEND_蒿 +$APPEND_蓁 +$APPEND_蓄 +$APPEND_蓆 +$APPEND_蓉 +$APPEND_蓋 +$APPEND_蓑 +$APPEND_蓓 +$APPEND_蓖 +$APPEND_蓝 +$APPEND_蓟 +$APPEND_蓦 +$APPEND_蓬 +$APPEND_蓮 +$APPEND_蓼 +$APPEND_蓿 +$APPEND_蔑 +$APPEND_蔓 +$APPEND_蔔 +$APPEND_蔗 +$APPEND_蔘 +$APPEND_蔚 +$APPEND_蔡 +$APPEND_蔣 +$APPEND_蔥 +$APPEND_蔫 +$APPEND_蔬 +$APPEND_蔭 +$APPEND_蔵 +$APPEND_蔷 +$APPEND_蔺 +$APPEND_蔻 +$APPEND_蔼 +$APPEND_蔽 +$APPEND_蕁 +$APPEND_蕃 +$APPEND_蕈 +$APPEND_蕉 +$APPEND_蕊 +$APPEND_蕎 +$APPEND_蕙 +$APPEND_蕤 +$APPEND_蕨 +$APPEND_蕩 +$APPEND_蕪 +$APPEND_蕭 +$APPEND_蕲 +$APPEND_蕴 +$APPEND_蕻 +$APPEND_蕾 +$APPEND_薄 +$APPEND_薅 +$APPEND_薇 +$APPEND_薈 +$APPEND_薊 +$APPEND_薏 +$APPEND_薑 +$APPEND_薔 +$APPEND_薙 +$APPEND_薛 +$APPEND_薦 +$APPEND_薨 +$APPEND_薩 +$APPEND_薪 +$APPEND_薬 +$APPEND_薯 +$APPEND_薰 +$APPEND_薹 +$APPEND_藉 +$APPEND_藍 +$APPEND_藏 +$APPEND_藐 +$APPEND_藓 +$APPEND_藕 +$APPEND_藜 +$APPEND_藝 +$APPEND_藤 +$APPEND_藥 +$APPEND_藩 +$APPEND_藹 +$APPEND_藻 +$APPEND_藿 +$APPEND_蘆 +$APPEND_蘇 +$APPEND_蘊 +$APPEND_蘋 +$APPEND_蘑 +$APPEND_蘚 +$APPEND_蘭 +$APPEND_蘸 +$APPEND_蘼 +$APPEND_蘿 +$APPEND_虎 +$APPEND_虏 +$APPEND_虐 +$APPEND_虑 +$APPEND_虔 +$APPEND_處 +$APPEND_虚 +$APPEND_虛 +$APPEND_虜 +$APPEND_虞 +$APPEND_號 +$APPEND_虢 +$APPEND_虧 +$APPEND_虫 +$APPEND_虬 +$APPEND_虱 +$APPEND_虹 +$APPEND_虻 +$APPEND_虽 +$APPEND_虾 +$APPEND_蚀 +$APPEND_蚁 +$APPEND_蚂 +$APPEND_蚊 +$APPEND_蚌 +$APPEND_蚓 +$APPEND_蚕 +$APPEND_蚜 +$APPEND_蚝 +$APPEND_蚣 +$APPEND_蚤 +$APPEND_蚩 +$APPEND_蚪 +$APPEND_蚯 +$APPEND_蚱 +$APPEND_蚵 +$APPEND_蛀 +$APPEND_蛆 +$APPEND_蛇 +$APPEND_蛊 +$APPEND_蛋 +$APPEND_蛎 +$APPEND_蛐 +$APPEND_蛔 +$APPEND_蛙 +$APPEND_蛛 +$APPEND_蛟 +$APPEND_蛤 +$APPEND_蛭 +$APPEND_蛮 +$APPEND_蛰 +$APPEND_蛳 +$APPEND_蛹 +$APPEND_蛻 +$APPEND_蛾 +$APPEND_蜀 +$APPEND_蜂 +$APPEND_蜃 +$APPEND_蜆 +$APPEND_蜇 +$APPEND_蜈 +$APPEND_蜊 +$APPEND_蜍 +$APPEND_蜒 +$APPEND_蜓 +$APPEND_蜕 +$APPEND_蜗 +$APPEND_蜘 +$APPEND_蜚 +$APPEND_蜜 +$APPEND_蜡 +$APPEND_蜢 +$APPEND_蜥 +$APPEND_蜱 +$APPEND_蜴 +$APPEND_蜷 +$APPEND_蜻 +$APPEND_蜿 +$APPEND_蝇 +$APPEND_蝈 +$APPEND_蝉 +$APPEND_蝌 +$APPEND_蝎 +$APPEND_蝕 +$APPEND_蝗 +$APPEND_蝙 +$APPEND_蝟 +$APPEND_蝠 +$APPEND_蝦 +$APPEND_蝨 +$APPEND_蝴 +$APPEND_蝶 +$APPEND_蝸 +$APPEND_蝼 +$APPEND_螂 +$APPEND_螃 +$APPEND_融 +$APPEND_螞 +$APPEND_螢 +$APPEND_螨 +$APPEND_螯 +$APPEND_螳 +$APPEND_螺 +$APPEND_蟀 +$APPEND_蟄 +$APPEND_蟆 +$APPEND_蟋 +$APPEND_蟎 +$APPEND_蟑 +$APPEND_蟒 +$APPEND_蟠 +$APPEND_蟬 +$APPEND_蟲 +$APPEND_蟹 +$APPEND_蟻 +$APPEND_蟾 +$APPEND_蠅 +$APPEND_蠍 +$APPEND_蠔 +$APPEND_蠕 +$APPEND_蠛 +$APPEND_蠟 +$APPEND_蠡 +$APPEND_蠢 +$APPEND_蠣 +$APPEND_蠱 +$APPEND_蠶 +$APPEND_蠹 +$APPEND_蠻 +$APPEND_血 +$APPEND_衄 +$APPEND_衅 +$APPEND_衆 +$APPEND_行 +$APPEND_衍 +$APPEND_術 +$APPEND_衔 +$APPEND_街 +$APPEND_衙 +$APPEND_衛 +$APPEND_衝 +$APPEND_衞 +$APPEND_衡 +$APPEND_衢 +$APPEND_衣 +$APPEND_补 +$APPEND_表 +$APPEND_衩 +$APPEND_衫 +$APPEND_衬 +$APPEND_衮 +$APPEND_衰 +$APPEND_衲 +$APPEND_衷 +$APPEND_衹 +$APPEND_衾 +$APPEND_衿 +$APPEND_袁 +$APPEND_袂 +$APPEND_袄 +$APPEND_袅 +$APPEND_袈 +$APPEND_袋 +$APPEND_袍 +$APPEND_袒 +$APPEND_袖 +$APPEND_袜 +$APPEND_袞 +$APPEND_袤 +$APPEND_袪 +$APPEND_被 +$APPEND_袭 +$APPEND_袱 +$APPEND_裁 +$APPEND_裂 +$APPEND_装 +$APPEND_裆 +$APPEND_裊 +$APPEND_裏 +$APPEND_裔 +$APPEND_裕 +$APPEND_裘 +$APPEND_裙 +$APPEND_補 +$APPEND_裝 +$APPEND_裟 +$APPEND_裡 +$APPEND_裤 +$APPEND_裨 +$APPEND_裱 +$APPEND_裳 +$APPEND_裴 +$APPEND_裸 +$APPEND_裹 +$APPEND_製 +$APPEND_裾 +$APPEND_褂 +$APPEND_複 +$APPEND_褐 +$APPEND_褒 +$APPEND_褓 +$APPEND_褔 +$APPEND_褚 +$APPEND_褥 +$APPEND_褪 +$APPEND_褫 +$APPEND_褲 +$APPEND_褶 +$APPEND_褻 +$APPEND_襁 +$APPEND_襄 +$APPEND_襟 +$APPEND_襠 +$APPEND_襪 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index 0000000..9440b03 --- /dev/null +++ b/src/baseline/ctc_vocab/ctc_detect_tags.txt @@ -0,0 +1,2 @@ +$KEEP +$ERROR \ No newline at end of file diff --git a/src/baseline/dataset.py b/src/baseline/dataset.py new file mode 100644 index 0000000..263cc43 --- /dev/null +++ b/src/baseline/dataset.py @@ -0,0 +1,173 @@ +import os +from difflib import SequenceMatcher +from typing import Dict, List + +import torch +from src import logger +from src.baseline.tokenizer import CtcTokenizer +from torch.utils.data import Dataset + + +class DatasetCTC(Dataset): + + def __init__(self, + in_model_dir: str, + src_texts: List[str], + trg_texts: List[str], + max_seq_len: int = 128, + ctc_label_vocab_dir: str = 'src/baseline/ctc_vocab', + _loss_ignore_id: int = -100 + ): + """ + :param data_dir: 数据集txt文件目录: 例如 data/train or data/dev + :param tokenizer: + :param ctc_label_vocab_dir: ctc任务的文件夹路径， 包含d_tags.txt和labels.txt + :param keep_one_append:多个操作型label保留一个 + """ + super(DatasetCTC, self).__init__() + + assert len(src_texts) == len( + trg_texts), 'keep equal length between srcs and trgs' + self.src_texts = src_texts + self.trg_texts = trg_texts + self.tokenizer = CtcTokenizer.from_pretrained(in_model_dir) + self.max_seq_len = max_seq_len + self.id2dtag, self.dtag2id, self.id2ctag, self.ctag2id = self.load_label_dict( + ctc_label_vocab_dir) + + self.dtag_num = len(self.dtag2id) + + # 检测标签 + self._keep_d_tag_id, self._error_d_tag_id = self.dtag2id['$KEEP'], self.dtag2id['$ERROR'] + # 纠错标签 + self._keep_c_tag_id = self.ctag2id['$KEEP'] + self._delete_c_tag_id = self.ctag2id['$DELETE'] + self.replace_unk_c_tag_id = self.ctag2id['[REPLACE_UNK]'] + self.append_unk_c_tag_id = self.ctag2id['[APPEND_UNK]'] + + # voab id + try: + self._start_vocab_id = self.tokenizer.vocab['[START]'] + except KeyError: + self._start_vocab_id = self.tokenizer.vocab['[unused1]'] + # loss ignore id + self._loss_ignore_id = _loss_ignore_id + + def load_label_dict(self, ctc_label_vocab_dir: str): + dtag_fp = os.path.join(ctc_label_vocab_dir, 'ctc_detect_tags.txt') + ctag_fp = os.path.join(ctc_label_vocab_dir, 'ctc_correct_tags.txt') + + id2dtag = [line.strip() for line in open(dtag_fp, encoding='utf8')] + d_tag2id = {v: i for i, v in enumerate(id2dtag)} + + id2ctag = [line.strip() for line in open(ctag_fp, encoding='utf8')] + c_tag2id = {v: i for i, v in enumerate(id2ctag)} + logger.info('d_tag num: {}, d_tags:{}'.format(len(id2dtag), d_tag2id)) + return id2dtag, d_tag2id, id2ctag, c_tag2id + + @staticmethod + def match_ctc_idx(src_text: str, trg_text: str): + replace_idx_list, delete_idx_list, missing_idx_list = [], [], [] + r = SequenceMatcher(None, src_text, trg_text) + diffs = r.get_opcodes() + + for diff in diffs: + tag, i1, i2, j1, j2 = diff + if tag == 'replace' and i2-i1 == j2-j1: + replace_idx_list += [(i, '$REPLACE_'+trg_text[j]) + for i, j in zip(range(i1, i2), range(j1, j2))] + elif tag == 'insert' and j2-j1 == 1: + missing_idx_list.append((i1-1, '$APPEND_'+trg_text[j1])) + elif tag == 'delete': + # 叠字叠词删除后面的 + redundant_length = i2-i1 + post_i1, post_i2 = i1+redundant_length, i2+redundant_length + if src_text[i1:i2] == src_text[post_i1:post_i2]: + i1, i2 = post_i1, post_i2 + for i in range(i1, i2): + delete_idx_list.append(i) + + return replace_idx_list, delete_idx_list, missing_idx_list + + def __getitem__(self, item: int) -> Dict[str, torch.Tensor]: + src, trg = self.src_texts[item], self.trg_texts[item] + inputs = self.parse_item(src, trg) + return_dict = { + 'input_ids': torch.LongTensor(inputs['input_ids']), + 'attention_mask': torch.LongTensor(inputs['attention_mask']), + 'token_type_ids': torch.LongTensor(inputs['token_type_ids']), + 'd_tags': torch.LongTensor(inputs['d_tags']), + 'c_tags': torch.LongTensor(inputs['c_tags']) + } + return return_dict + + def __len__(self) -> int: + return len(self.src_texts) + + def convert_ids_to_ctags(self, ctag_id_list: list) -> list: + "id to correct tag" + return [self.id2ctag[i] if i != self._loss_ignore_id else self._loss_ignore_id for i in ctag_id_list] + + def convert_ids_to_dtags(self, dtag_id_list: list) -> list: + "id to detect tag" + return [self.id2dtag[i] if i != self._loss_ignore_id else self._loss_ignore_id for i in dtag_id_list] + + def parse_item(self, src, trg): + """[summary] + + Args: + src ([type]): text + redundant_marks ([type]): [(1,2), (5,6)] + + Returns: + [type]: [description] + """ + if src and len(src) < 3: + trg = src + + src, trg = '始' + src, '始'+trg + src, trg = src[:self.max_seq_len - 2], trg[:self.max_seq_len - 2] + inputs = self.tokenizer(src, + max_len=self.max_seq_len, + return_batch=False) + inputs['input_ids'][1] = self._start_vocab_id # 把 始 换成 [START] + replace_idx_list, delete_idx_list, missing_idx_list = self.match_ctc_idx( + src, trg) + + # --- 对所有 token 计算loss --- + src_len = len(src) + ignore_loss_seq_len = self.max_seq_len-(src_len+1) # ex sep and pad + # 先默认给keep，会面对有错误标签的进行修改 + d_tags = [self._loss_ignore_id] + [self._keep_d_tag_id] * \ + src_len + [self._loss_ignore_id] * ignore_loss_seq_len + c_tags = [self._loss_ignore_id] + [self._keep_c_tag_id] * \ + src_len + [self._loss_ignore_id] * ignore_loss_seq_len + + for (replace_idx, replace_char) in replace_idx_list: + # +1 是因为input id的第一个token是cls + d_tags[replace_idx+1] = self._error_d_tag_id + c_tags[replace_idx + + 1] = self.ctag2id.get(replace_char, self.replace_unk_c_tag_id) + + for delete_idx in delete_idx_list: + d_tags[delete_idx+1] = self._error_d_tag_id + c_tags[delete_idx+1] = self._delete_c_tag_id + + for (miss_idx, miss_char) in missing_idx_list: + d_tags[miss_idx + 1] = self._error_d_tag_id + c_tags[miss_idx + + 1] = self.ctag2id.get(miss_char, self.append_unk_c_tag_id) + + inputs['d_tags'] = d_tags + inputs['c_tags'] = c_tags + return inputs + + +if __name__ == '__main__': + + d = DatasetCTC(in_model_dir='pretrained_model/chinese-roberta-wwm-ext', + src_texts=['可老爸还是无动于束'], + trg_texts=['可老爸还是无动于衷']) + dataset = torch.utils.data.dataloader.DataLoader(d, batch_size=1) + for i in dataset: + print(i) diff --git a/src/baseline/loss.py b/src/baseline/loss.py new file mode 100644 index 0000000..e5fee47 --- /dev/null +++ b/src/baseline/loss.py @@ -0,0 +1,39 @@ +import torch + + +class LabelSmoothingLoss(torch.nn.Module): + """formula + loss= { + (1-smoothing) * logP(x), if (x==y) + (smoothing) / (num_classes-1) * logP(x), if (x!=y) + } + Args: + torch (_type_): _description_ + """ + def __init__(self, smoothing:float=0.1, reduction:str='mean', ignore_index:int=-100): + assert reduction in ('mean', 'sum', 'none') + super(LabelSmoothingLoss, self).__init__() + self.confidence = 1.0 - smoothing + self.smoothing = smoothing + self._reduction = reduction + self._ignore_index = ignore_index + + def forward(self, pred:torch.Tensor, target:torch.Tensor): + num_classes = pred.size()[-1] + pred = pred.log_softmax(dim=-1) + + pred = pred[target != self._ignore_index] + target = target[target != self._ignore_index] + + new_target = torch.zeros_like(pred) + new_target.fill_(value=self.smoothing / (num_classes - 1)) + new_target.scatter_(dim=1, index=target.data.unsqueeze(1), value=self.confidence) + loss = -new_target * pred + if self._reduction == 'mean': + return torch.mean(torch.sum(loss, -1)) + elif self._reduction == 'sum': + return torch.sum(loss, -1) + elif self._reduction == 'none': + return loss + + \ No newline at end of file diff --git a/src/baseline/modeling.py b/src/baseline/modeling.py new file mode 100644 index 0000000..a4c83b2 --- /dev/null +++ b/src/baseline/modeling.py @@ -0,0 +1,64 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +import torch +from src.baseline.ctc_vocab.config import VocabConf +from src.baseline.loss import LabelSmoothingLoss +from transformers.models.bert import BertModel, BertPreTrainedModel +from torch.nn import CrossEntropyLoss + +class ModelingCtcBert(BertPreTrainedModel): + + def __init__(self, config): + super().__init__(config) + self.config = config + self.bert = BertModel(config) + self.dropout = torch.nn.Dropout(config.hidden_dropout_prob) + self.tag_detect_projection_layer = torch.nn.Linear( + config.hidden_size, VocabConf.detect_vocab_size) + self.tag_label_projection_layer = torch.nn.Linear( + config.hidden_size, VocabConf.correct_vocab_size) + self.init_weights() + self._detect_criterion = CrossEntropyLoss(ignore_index=-100) + self._correct_criterion = LabelSmoothingLoss(smoothing=0.1, ignore_index=-100) + + @staticmethod + def build_dummpy_inputs(): + inputs = {} + inputs['input_ids'] = torch.LongTensor( + torch.randint(low=1, high=10, size=(8, 56))) + inputs['attention_mask'] = torch.ones(size=(8, 56)).long() + inputs['token_type_ids'] = torch.zeros(size=(8, 56)).long() + inputs['detect_labels'] = torch.zeros(size=(8, 56)).long() + inputs['correct_labels'] = torch.zeros(size=(8, 56)).long() + return inputs + + def forward( + self, + input_ids=None, + attention_mask=None, + token_type_ids=None, + detect_labels=None, + correct_labels=None + ): + + hidden_states = self.bert( + input_ids=input_ids, + attention_mask=attention_mask, + token_type_ids=token_type_ids)[0] + detect_outputs = self.tag_detect_projection_layer(hidden_states) + correct_output = self.tag_label_projection_layer(hidden_states) + + loss = None + if detect_labels is not None and correct_labels is not None: + + loss = self._detect_criterion( + detect_outputs.view(-1, VocabConf.detect_vocab_size), detect_labels.view(-1)) + self._correct_criterion( + correct_output.view(-1, VocabConf.correct_vocab_size), correct_labels.view(-1)) + elif detect_labels is not None: + loss = self._detect_criterion( + detect_outputs.view(-1, VocabConf.detect_vocab_size), detect_labels.view(-1)) + elif correct_labels is not None: + loss = self._correct_criterion( + correct_output.view(-1, VocabConf.correct_vocab_size), correct_labels.view(-1)) + + return detect_outputs, correct_output, loss \ No newline at end of file diff --git a/src/baseline/predictor.py b/src/baseline/predictor.py new file mode 100644 index 0000000..8b19cd4 --- /dev/null +++ b/src/baseline/predictor.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + + +import os + +import torch +from src import logger +from src.baseline.modeling import ModelingCtcBert +from src.baseline.tokenizer import CtcTokenizer + + +class PredictorCtc: + def __init__( + self, + in_model_dir, + ctc_label_vocab_dir='src/baseline/ctc_vocab', + use_cuda=True, + cuda_id=None, + ): + + self.in_model_dir = in_model_dir + self.model = ModelingCtcBert.from_pretrained( + in_model_dir) + self._id2dtag, self._dtag2id, self._id2ctag, self._ctag2id = self.load_label_dict( + ctc_label_vocab_dir) + logger.info('model loaded from dir {}'.format( + self.in_model_dir)) + self.use_cuda = use_cuda + if self.use_cuda and torch.cuda.is_available(): + if cuda_id is not None: + torch.cuda.set_device(cuda_id) + self.model.cuda() + self.model.half() + self.model.eval() + self.tokenizer = CtcTokenizer.from_pretrained(in_model_dir) + + try: + self._start_vocab_id = self.tokenizer.vocab['[START]'] + except KeyError: + self._start_vocab_id = self.tokenizer.vocab['[unused1]'] + + def load_label_dict(self, ctc_label_vocab_dir): + dtag_fp = os.path.join(ctc_label_vocab_dir, 'ctc_detect_tags.txt') + ctag_fp = os.path.join(ctc_label_vocab_dir, 'ctc_correct_tags.txt') + + id2dtag = [line.strip() for line in open(dtag_fp, encoding='utf8')] + d_tag2id = {v: i for i, v in enumerate(id2dtag)} + + id2ctag = [line.strip() for line in open(ctag_fp, encoding='utf8')] + c_tag2id = {v: i for i, v in enumerate(id2ctag)} + logger.info('d_tag num: {}, d_tags:{}'.format(len(id2dtag), d_tag2id)) + return id2dtag, d_tag2id, id2ctag, c_tag2id + + def id_list2ctag_list(self, id_list) -> list: + + return [self._id2ctag[i] for i in id_list] + + @torch.no_grad() + def predict(self, texts, return_topk=1, batch_size=32): + if isinstance(texts, str): + texts = [texts] + else: + texts = texts + outputs = [] + for start_idx in range(0, len(texts), batch_size): + batch_texts = texts[start_idx:start_idx+batch_size] + + batch_texts = [' ' + t for t in batch_texts] # 开头加一个占位符 + inputs = self.tokenizer(batch_texts, + return_tensors='pt') + # 把 ' ' 换成 _start_vocab_id + inputs['input_ids'][..., 1] = self._start_vocab_id + if self.use_cuda and torch.cuda.is_available(): + inputs['input_ids'] = inputs['input_ids'].cuda() + inputs['attention_mask'] = inputs['attention_mask'].cuda() + inputs['token_type_ids'] = inputs['token_type_ids'].cuda() + + d_preds, preds, loss = self.model( + input_ids=inputs['input_ids'], + attention_mask=inputs['attention_mask'], + token_type_ids=inputs['token_type_ids'], + ) + + preds = torch.softmax(preds[:, 1:, :], dim=-1) # 从cls后面开始 + recall_top_k_probs, recall_top_k_ids = preds.topk( + k=return_topk, dim=-1, largest=True, sorted=True) + recall_top_k_probs = recall_top_k_probs.tolist() + recall_top_k_ids = recall_top_k_ids.tolist() + recall_top_k_chars = [[self.id_list2ctag_list( + char_level) for char_level in sent_level] for sent_level in recall_top_k_ids] + batch_texts = [['']+list(t)[1:] for t in batch_texts] # 占位符 + batch_outputs = [list(zip(text, top_k_char, top_k_prob)) for text, top_k_char, top_k_prob in zip( + batch_texts, recall_top_k_chars, recall_top_k_probs)] + outputs.extend(batch_outputs) + return outputs + + @staticmethod + def output2text(output): + + pred_text = '' + for src_token, pred_token_list, pred_prob_list in output: + pred_token = pred_token_list[0] + if '$KEEP' in pred_token: + pred_text += src_token + elif '$DELETE' in pred_token: + continue + elif '$REPLACE' in pred_token: + pred_text += pred_token.split('_')[-1] + elif '$INSERT' in pred_token: + pred_text += src_token+pred_token.split('_')[-1] + + return pred_text + + +if __name__ == '__main__': + p = PredictorCtc('model/ctc_2022Y04M27D03H/epoch11,step1,testf1_100_0%,devf1_100_0%') + r = p.predict('今天的天气真错！', return_topk=3) + print(r) \ No newline at end of file diff --git a/src/baseline/tokenizer.py b/src/baseline/tokenizer.py new file mode 100644 index 0000000..3aaa47b --- /dev/null +++ b/src/baseline/tokenizer.py @@ -0,0 +1,610 @@ +# coding=utf-8 +# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Tokenization classes for Bert.""" + + +import collections +import os +import unicodedata +from typing import List, Optional, Tuple + +import torch +from src import logger +from transformers.tokenization_utils import (PreTrainedTokenizer, _is_control, + _is_punctuation, _is_whitespace) + +VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"} + +PRETRAINED_VOCAB_FILES_MAP = { + "vocab_file": { + "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt", + "bert-large-uncased": "https://huggingface.co/bert-large-uncased/resolve/main/vocab.txt", + "bert-base-cased": "https://huggingface.co/bert-base-cased/resolve/main/vocab.txt", + "bert-large-cased": "https://huggingface.co/bert-large-cased/resolve/main/vocab.txt", + "bert-base-multilingual-uncased": "https://huggingface.co/bert-base-multilingual-uncased/resolve/main/vocab.txt", + "bert-base-multilingual-cased": "https://huggingface.co/bert-base-multilingual-cased/resolve/main/vocab.txt", + "bert-base-chinese": "https://huggingface.co/bert-base-chinese/resolve/main/vocab.txt", + "bert-base-german-cased": "https://huggingface.co/bert-base-german-cased/resolve/main/vocab.txt", + "bert-large-uncased-whole-word-masking": "https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/vocab.txt", + "bert-large-cased-whole-word-masking": "https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/vocab.txt", + "bert-large-uncased-whole-word-masking-finetuned-squad": "https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt", + "bert-large-cased-whole-word-masking-finetuned-squad": "https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt", + "bert-base-cased-finetuned-mrpc": "https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/vocab.txt", + "bert-base-german-dbmdz-cased": "https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/vocab.txt", + "bert-base-german-dbmdz-uncased": "https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/vocab.txt", + "TurkuNLP/bert-base-finnish-cased-v1": "https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/vocab.txt", + "TurkuNLP/bert-base-finnish-uncased-v1": "https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/vocab.txt", + "wietsedv/bert-base-dutch-cased": "https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/vocab.txt", + } +} + +PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = { + "bert-base-uncased": 512, + "bert-large-uncased": 512, + "bert-base-cased": 512, + "bert-large-cased": 512, + "bert-base-multilingual-uncased": 512, + "bert-base-multilingual-cased": 512, + "bert-base-chinese": 512, + "bert-base-german-cased": 512, + "bert-large-uncased-whole-word-masking": 512, + "bert-large-cased-whole-word-masking": 512, + "bert-large-uncased-whole-word-masking-finetuned-squad": 512, + "bert-large-cased-whole-word-masking-finetuned-squad": 512, + "bert-base-cased-finetuned-mrpc": 512, + "bert-base-german-dbmdz-cased": 512, + "bert-base-german-dbmdz-uncased": 512, + "TurkuNLP/bert-base-finnish-cased-v1": 512, + "TurkuNLP/bert-base-finnish-uncased-v1": 512, + "wietsedv/bert-base-dutch-cased": 512, +} + +PRETRAINED_INIT_CONFIGURATION = { + "bert-base-uncased": {"do_lower_case": True}, + "bert-large-uncased": {"do_lower_case": True}, + "bert-base-cased": {"do_lower_case": False}, + "bert-large-cased": {"do_lower_case": False}, + "bert-base-multilingual-uncased": {"do_lower_case": True}, + "bert-base-multilingual-cased": {"do_lower_case": False}, + "bert-base-chinese": {"do_lower_case": False}, + "bert-base-german-cased": {"do_lower_case": False}, + "bert-large-uncased-whole-word-masking": {"do_lower_case": True}, + "bert-large-cased-whole-word-masking": {"do_lower_case": False}, + "bert-large-uncased-whole-word-masking-finetuned-squad": {"do_lower_case": True}, + "bert-large-cased-whole-word-masking-finetuned-squad": {"do_lower_case": False}, + "bert-base-cased-finetuned-mrpc": {"do_lower_case": False}, + "bert-base-german-dbmdz-cased": {"do_lower_case": False}, + "bert-base-german-dbmdz-uncased": {"do_lower_case": True}, + "TurkuNLP/bert-base-finnish-cased-v1": {"do_lower_case": False}, + "TurkuNLP/bert-base-finnish-uncased-v1": {"do_lower_case": True}, + "wietsedv/bert-base-dutch-cased": {"do_lower_case": False}, +} + + +def load_vocab(vocab_file): + """Loads a vocabulary file into a dictionary.""" + vocab = collections.OrderedDict() + with open(vocab_file, "r", encoding="utf-8") as reader: + tokens = reader.readlines() + for index, token in enumerate(tokens): + token = token.rstrip("\n") + vocab[token] = index + return vocab + + +def whitespace_tokenize(text): + """Runs basic whitespace cleaning and splitting on a piece of text.""" + text = text.strip() + if not text: + return [] + tokens = text.split() + return tokens + + +class CtcTokenizer(PreTrainedTokenizer): + r""" + char-level tokenizer for chinese text correction + + This tokenizer inherits from :class:`~transformers.PreTrainedTokenizer` which contains most of the main methods. + Users should refer to this superclass for more information regarding those methods. + + Args: + vocab_file (:obj:`str`): + File containing the vocabulary. + do_lower_case (:obj:`bool`, `optional`, defaults to :obj:`True`): + Whether or not to lowercase the input when tokenizing. + do_basic_tokenize (:obj:`bool`, `optional`, defaults to :obj:`True`): + Whether or not to do basic tokenization before WordPiece. + never_split (:obj:`Iterable`, `optional`): + Collection of tokens which will never be split during tokenization. Only has an effect when + :obj:`do_basic_tokenize=True` + unk_token (:obj:`str`, `optional`, defaults to :obj:`"[UNK]"`): + The unknown token. A token that is not in the vocabulary cannot be converted to an ID and is set to be this + token instead. + sep_token (:obj:`str`, `optional`, defaults to :obj:`"[SEP]"`): + The separator token, which is used when building a sequence from multiple sequences, e.g. two sequences for + sequence classification or for a text and a question for question answering. It is also used as the last + token of a sequence built with special tokens. + pad_token (:obj:`str`, `optional`, defaults to :obj:`"[PAD]"`): + The token used for padding, for example when batching sequences of different lengths. + cls_token (:obj:`str`, `optional`, defaults to :obj:`"[CLS]"`): + The classifier token which is used when doing sequence classification (classification of the whole sequence + instead of per-token classification). It is the first token of the sequence when built with special tokens. + mask_token (:obj:`str`, `optional`, defaults to :obj:`"[MASK]"`): + The token used for masking values. This is the token used when training this model with masked language + modeling. This is the token which the model will try to predict. + tokenize_chinese_chars (:obj:`bool`, `optional`, defaults to :obj:`True`): + Whether or not to tokenize Chinese characters. + + This should likely be deactivated for Japanese (see this `issue + `__). + strip_accents: (:obj:`bool`, `optional`): + Whether or not to strip all accents. If this option is not specified, then it will be determined by the + value for :obj:`lowercase` (as in the original BERT). + """ + + vocab_files_names = VOCAB_FILES_NAMES + pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP + pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION + max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES + + def __init__( + self, + vocab_file, + do_lower_case=True, + do_basic_tokenize=True, + never_split=None, + unk_token="[UNK]", + sep_token="[SEP]", + pad_token="[PAD]", + cls_token="[CLS]", + mask_token="[MASK]", + tokenize_chinese_chars=True, + strip_accents=None, + **kwargs + ): + super().__init__( + do_lower_case=do_lower_case, + do_basic_tokenize=do_basic_tokenize, + never_split=never_split, + unk_token=unk_token, + sep_token=sep_token, + pad_token=pad_token, + cls_token=cls_token, + mask_token=mask_token, + tokenize_chinese_chars=tokenize_chinese_chars, + strip_accents=strip_accents, + **kwargs, + ) + + if not os.path.isfile(vocab_file): + raise ValueError( + f"Can't find a vocabulary file at path '{vocab_file}'. To load the vocabulary from a Google pretrained " + "model use `tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`" + ) + self.vocab = load_vocab(vocab_file) + self.ids_to_tokens = collections.OrderedDict( + [(ids, tok) for tok, ids in self.vocab.items()]) + self.do_basic_tokenize = do_basic_tokenize + if do_basic_tokenize: + self.basic_tokenizer = BasicTokenizer( + do_lower_case=do_lower_case, + never_split=never_split, + tokenize_chinese_chars=tokenize_chinese_chars, + strip_accents=strip_accents, + ) + self.wordpiece_tokenizer = WordpieceTokenizer( + vocab=self.vocab, unk_token=self.unk_token) + + @property + def do_lower_case(self): + return self.basic_tokenizer.do_lower_case + + @property + def vocab_size(self): + return len(self.vocab) + + def get_vocab(self): + return dict(self.vocab, **self.added_tokens_encoder) + + def _tokenize(self, text): + split_tokens = [] + if self.do_basic_tokenize: + for token in self.basic_tokenizer.tokenize(text, never_split=self.all_special_tokens): + + # If the token is part of the never_split set + if token in self.basic_tokenizer.never_split: + split_tokens.append(token) + else: + split_tokens += self.wordpiece_tokenizer.tokenize(token) + else: + split_tokens = self.wordpiece_tokenizer.tokenize(text) + return split_tokens + + def _convert_token_to_id(self, token): + """Converts a token (str) in an id using the vocab.""" + return self.vocab.get(token, self.vocab.get(self.unk_token)) + + def _convert_id_to_token(self, index): + """Converts an index (integer) in a token (str) using the vocab.""" + return self.ids_to_tokens.get(index, self.unk_token) + + def convert_tokens_to_string(self, tokens): + """Converts a sequence of tokens (string) in a single string.""" + out_string = " ".join(tokens).replace(" ##", "").strip() + return out_string + + def build_inputs_with_special_tokens( + self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None + ) -> List[int]: + """ + Build model inputs from a sequence or a pair of sequence for sequence classification tasks by concatenating and + adding special tokens. A BERT sequence has the following format: + + - single sequence: ``[CLS] X [SEP]`` + - pair of sequences: ``[CLS] A [SEP] B [SEP]`` + + Args: + token_ids_0 (:obj:`List[int]`): + List of IDs to which the special tokens will be added. + token_ids_1 (:obj:`List[int]`, `optional`): + Optional second list of IDs for sequence pairs. + + Returns: + :obj:`List[int]`: List of `input IDs <../glossary.html#input-ids>`__ with the appropriate special tokens. + """ + if token_ids_1 is None: + return [self.cls_token_id] + token_ids_0 + [self.sep_token_id] + cls = [self.cls_token_id] + sep = [self.sep_token_id] + return cls + token_ids_0 + sep + token_ids_1 + sep + + def get_special_tokens_mask( + self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None, already_has_special_tokens: bool = False + ) -> List[int]: + """ + Retrieve sequence ids from a token list that has no special tokens added. This method is called when adding + special tokens using the tokenizer ``prepare_for_model`` method. + + Args: + token_ids_0 (:obj:`List[int]`): + List of IDs. + token_ids_1 (:obj:`List[int]`, `optional`): + Optional second list of IDs for sequence pairs. + already_has_special_tokens (:obj:`bool`, `optional`, defaults to :obj:`False`): + Whether or not the token list is already formatted with special tokens for the model. + + Returns: + :obj:`List[int]`: A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token. + """ + + if already_has_special_tokens: + return super().get_special_tokens_mask( + token_ids_0=token_ids_0, token_ids_1=token_ids_1, already_has_special_tokens=True + ) + + if token_ids_1 is not None: + return [1] + ([0] * len(token_ids_0)) + [1] + ([0] * len(token_ids_1)) + [1] + return [1] + ([0] * len(token_ids_0)) + [1] + + def create_token_type_ids_from_sequences( + self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None + ) -> List[int]: + """ + Create a mask from the two sequences passed to be used in a sequence-pair classification task. A BERT sequence + pair mask has the following format: + + :: + + 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 + | first sequence | second sequence | + + If :obj:`token_ids_1` is :obj:`None`, this method only returns the first portion of the mask (0s). + + Args: + token_ids_0 (:obj:`List[int]`): + List of IDs. + token_ids_1 (:obj:`List[int]`, `optional`): + Optional second list of IDs for sequence pairs. + + Returns: + :obj:`List[int]`: List of `token type IDs <../glossary.html#token-type-ids>`_ according to the given + sequence(s). + """ + sep = [self.sep_token_id] + cls = [self.cls_token_id] + if token_ids_1 is None: + return len(cls + token_ids_0 + sep) * [0] + return len(cls + token_ids_0 + sep) * [0] + len(token_ids_1 + sep) * [1] + + def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None) -> Tuple[str]: + index = 0 + if os.path.isdir(save_directory): + vocab_file = os.path.join( + save_directory, (filename_prefix + "-" if filename_prefix else "") + + VOCAB_FILES_NAMES["vocab_file"] + ) + else: + vocab_file = (filename_prefix + + "-" if filename_prefix else "") + save_directory + with open(vocab_file, "w", encoding="utf-8") as writer: + for token, token_index in sorted(self.vocab.items(), key=lambda kv: kv[1]): + if index != token_index: + logger.warning( + f"Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive." + " Please check that the vocabulary is not corrupted!" + ) + index = token_index + writer.write(token + "\n") + index += 1 + return (vocab_file,) + + def __call__(self, + texts, + max_len=None, + return_tensors=None, + return_length=False, + return_batch=True): + "预测tokenize, 按batch texts中最大的文本长度来pad, realise只需要input id, mask, length" + + if isinstance(texts, str): + texts = [texts] + cls_id, sep_id, pad_id, unk_id = self.vocab['[CLS]'], self.vocab[ + '[SEP]'], self.vocab['[PAD]'], self.vocab['[UNK]'] + input_ids, attention_mask, token_type_ids, length = [], [], [], [] + if max_len is None: + max_len = max([len(text) for text in texts]) + 2 # 注意+2 cls, sep + + for text in texts: + true_input_id = [self.vocab.get( + c, unk_id) for c in text][:max_len-2] + pad_len = (max_len-len(true_input_id)-2) + input_id = [cls_id] + true_input_id + [sep_id] + [pad_id] * pad_len + a_mask = [1] * (len(true_input_id) + 2) + [0] * pad_len + token_type_id = [0] * max_len + input_ids.append(input_id) + attention_mask.append(a_mask) + token_type_ids.append(token_type_id) + length.append(sum(a_mask)) + + rtn_dict = {'input_ids': input_ids, + 'attention_mask': attention_mask, + 'token_type_ids': token_type_ids, + } + if return_length: + rtn_dict['length'] = length + + if return_tensors == 'pt': + for k, v in rtn_dict.items(): + rtn_dict[k] = torch.LongTensor(v) + if not return_batch: + for i,v in rtn_dict.items(): + rtn_dict[i] = rtn_dict[i][0] + return rtn_dict + + +class BasicTokenizer(object): + """ + Constructs a BasicTokenizer that will run basic tokenization (punctuation splitting, lower casing, etc.). + + Args: + do_lower_case (:obj:`bool`, `optional`, defaults to :obj:`True`): + Whether or not to lowercase the input when tokenizing. + never_split (:obj:`Iterable`, `optional`): + Collection of tokens which will never be split during tokenization. Only has an effect when + :obj:`do_basic_tokenize=True` + tokenize_chinese_chars (:obj:`bool`, `optional`, defaults to :obj:`True`): + Whether or not to tokenize Chinese characters. + + This should likely be deactivated for Japanese (see this `issue + `__). + strip_accents: (:obj:`bool`, `optional`): + Whether or not to strip all accents. If this option is not specified, then it will be determined by the + value for :obj:`lowercase` (as in the original BERT). + """ + + def __init__(self, do_lower_case=True, never_split=None, tokenize_chinese_chars=True, strip_accents=None): + if never_split is None: + never_split = [] + self.do_lower_case = do_lower_case + self.never_split = set(never_split) + self.tokenize_chinese_chars = tokenize_chinese_chars + self.strip_accents = strip_accents + + def tokenize(self, text, never_split=None): + """ + Basic Tokenization of a piece of text. Split on "white spaces" only, for sub-word tokenization, see + WordPieceTokenizer. + + Args: + **never_split**: (`optional`) list of str + Kept for backward compatibility purposes. Now implemented directly at the base class level (see + :func:`PreTrainedTokenizer.tokenize`) List of token not to split. + """ + # union() returns a new set by concatenating the two sets. + never_split = self.never_split.union( + set(never_split)) if never_split else self.never_split + text = self._clean_text(text) + + # This was added on November 1st, 2018 for the multilingual and Chinese + # models. This is also applied to the English models now, but it doesn't + # matter since the English models were not trained on any Chinese data + # and generally don't have any Chinese data in them (there are Chinese + # characters in the vocabulary because Wikipedia does have some Chinese + # words in the English Wikipedia.). + if self.tokenize_chinese_chars: + text = self._tokenize_chinese_chars(text) + orig_tokens = whitespace_tokenize(text) + split_tokens = [] + for token in orig_tokens: + if token not in never_split: + if self.do_lower_case: + token = token.lower() + if self.strip_accents is not False: + token = self._run_strip_accents(token) + elif self.strip_accents: + token = self._run_strip_accents(token) + split_tokens.extend(self._run_split_on_punc(token, never_split)) + + output_tokens = whitespace_tokenize(" ".join(split_tokens)) + return output_tokens + + def _run_strip_accents(self, text): + """Strips accents from a piece of text.""" + text = unicodedata.normalize("NFD", text) + output = [] + for char in text: + cat = unicodedata.category(char) + if cat == "Mn": + continue + output.append(char) + return "".join(output) + + def _run_split_on_punc(self, text, never_split=None): + """Splits punctuation on a piece of text.""" + if never_split is not None and text in never_split: + return [text] + chars = list(text) + i = 0 + start_new_word = True + output = [] + while i < len(chars): + char = chars[i] + if _is_punctuation(char): + output.append([char]) + start_new_word = True + else: + if start_new_word: + output.append([]) + start_new_word = False + output[-1].append(char) + i += 1 + + return ["".join(x) for x in output] + + def _tokenize_chinese_chars(self, text): + """Adds whitespace around any CJK character.""" + output = [] + for char in text: + cp = ord(char) + if self._is_chinese_char(cp): + output.append(" ") + output.append(char) + output.append(" ") + else: + output.append(char) + return "".join(output) + + def _is_chinese_char(self, cp): + """Checks whether CP is the codepoint of a CJK character.""" + # This defines a "chinese character" as anything in the CJK Unicode block: + # https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block) + # + # Note that the CJK Unicode block is NOT all Japanese and Korean characters, + # despite its name. The modern Korean Hangul alphabet is a different block, + # as is Japanese Hiragana and Katakana. Those alphabets are used to write + # space-separated words, so they are not treated specially and handled + # like the all of the other languages. + if ( + (cp >= 0x4E00 and cp <= 0x9FFF) + or (cp >= 0x3400 and cp <= 0x4DBF) # + or (cp >= 0x20000 and cp <= 0x2A6DF) # + or (cp >= 0x2A700 and cp <= 0x2B73F) # + or (cp >= 0x2B740 and cp <= 0x2B81F) # + or (cp >= 0x2B820 and cp <= 0x2CEAF) # + or (cp >= 0xF900 and cp <= 0xFAFF) + or (cp >= 0x2F800 and cp <= 0x2FA1F) # + ): # + return True + + return False + + def _clean_text(self, text): + """Performs invalid character removal and whitespace cleanup on text.""" + output = [] + for char in text: + cp = ord(char) + if cp == 0 or cp == 0xFFFD or _is_control(char): + continue + if _is_whitespace(char): + output.append(" ") + else: + output.append(char) + return "".join(output) + + +class WordpieceTokenizer(object): + """Runs WordPiece tokenization.""" + + def __init__(self, vocab, unk_token, max_input_chars_per_word=100): + self.vocab = vocab + self.unk_token = unk_token + self.max_input_chars_per_word = max_input_chars_per_word + + def tokenize(self, text): + """ + Tokenizes a piece of text into its word pieces. This uses a greedy longest-match-first algorithm to perform + tokenization using the given vocabulary. + + For example, :obj:`input = "unaffable"` wil return as output :obj:`["un", "##aff", "##able"]`. + + Args: + text: A single token or whitespace separated tokens. This should have + already been passed through `BasicTokenizer`. + + Returns: + A list of wordpiece tokens. + """ + + output_tokens = [] + for token in whitespace_tokenize(text): + chars = list(token) + if len(chars) > self.max_input_chars_per_word: + output_tokens.append(self.unk_token) + continue + + is_bad = False + start = 0 + sub_tokens = [] + while start < len(chars): + end = len(chars) + cur_substr = None + while start < end: + substr = "".join(chars[start:end]) + if start > 0: + substr = "##" + substr + if substr in self.vocab: + cur_substr = substr + break + end -= 1 + if cur_substr is None: + is_bad = True + break + sub_tokens.append(cur_substr) + start = end + + if is_bad: + output_tokens.append(self.unk_token) + else: + output_tokens.extend(sub_tokens) + return output_tokens + + +if __name__ == '__main__': + + model_dir = 'pretrained_model/chinese-roberta-wwm-ext' + tokenizer = CtcTokenizer.from_pretrained(model_dir) + inputs = tokenizer(['撒打算大阿斯顿', '撒打算大'], max_len=128) + print(inputs) diff --git a/src/baseline/trainer.py b/src/baseline/trainer.py new file mode 100644 index 0000000..c36cb48 --- /dev/null +++ b/src/baseline/trainer.py @@ -0,0 +1,583 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +import os +import time +from math import ceil +from typing import List +import json +import numpy as np +import torch +from rich.progress import track +from src import logger +from src.baseline.dataset import DatasetCTC +from src.baseline.modeling import ModelingCtcBert +from torch.cuda.amp import GradScaler +from torch.cuda.amp import autocast +from torch.nn.parallel import DistributedDataParallel as DDP +from torch.utils.data import DataLoader, DistributedSampler +from transformers import AdamW +from src.baseline.tokenizer import CtcTokenizer +from typing import Optional +from transformers.optimization import get_linear_schedule_with_warmup +from torch.nn.utils import clip_grad_norm +from src.metric import ctc_f1 + + +class TrainerCtc: + def __init__(self, + in_model_dir: str, + out_model_dir: str, + epochs: int, + batch_size: int, + learning_rate: float, + max_seq_len: int, + train_fp: str, + dev_fp: str = None, + test_fp: str = None, + random_seed_num: int = 42, + check_val_every_n_epoch: Optional[float] = 0.5, + early_stop_times: Optional[int] = 100, + freeze_embedding: bool = False, + warmup_steps: int = -1, + max_grad_norm: Optional[float] = None, + dev_data_ratio: Optional[float] = 0.2, + with_train_epoch_metric: bool = False, + training_mode: str = 'normal', + loss_ignore_id = -100, + ctc_label_vocab_dir: str = 'src/baseline/ctc_vocab', + amp: Optional[bool] = True, + ddp_nodes_num: Optional[int] = 1, + ddp_local_rank: Optional[int] = -1, + **kwargs + ): + + """ + # in_model_dir 预训练模型目录 + # out_model_dir 输出模型目录 + # epochs 训练轮数 + # batch_size batch文本数 + # max_seq_len 最大句子长度 + # learning_rate 学习率 + # train_fp 训练集文件 + # test_fp 测试集文件 + # dev_data_ratio 没有验证集时，会从训练集按照比例分割出验证集 + # random_seed_num 随机种子 + # warmup_steps 预热steps + # check_val_every_n_epoch 每几轮对验证集进行指标计算 + # training_mode 训练模式 包括 ddp，dp, normal，分别代表分布式，并行，普通训练 + # amp 是否开启混合精度 + # freeze_embedding 是否冻结bert embed层 + """ + + current_time = time.strftime("_%YY%mM%dD%HH", time.localtime()) + self.in_model_dir = in_model_dir + self.out_model_dir = os.path.join(out_model_dir, '')[ + :-1] + current_time + + self.epochs = epochs + self.batch_size = batch_size + self.learning_rate = learning_rate + self.max_seq_len = max_seq_len + self.random_seed_num = random_seed_num + self.freeze_embedding = freeze_embedding + self.train_fp = train_fp + self.dev_fp = dev_fp + self.test_fp = test_fp + self.ctc_label_vocab_dir = ctc_label_vocab_dir + self.check_val_every_n_epoch = check_val_every_n_epoch + self.early_stop_times = early_stop_times + self.dev_data_ratio = dev_data_ratio + self._loss_ignore_id = loss_ignore_id + assert training_mode in ('normal', 'dp', 'ddp') # 普通，数据并行，分布式训练 + self.training_mode = training_mode + self.ddp_nodes_num = ddp_nodes_num + self.ddp_local_rank = int(ddp_local_rank) + self.dev_data_ratio = dev_data_ratio + self.amp = amp + self._warmup_steps = warmup_steps + self._max_grad_norm = max_grad_norm + self.with_train_epoch_metric = with_train_epoch_metric + if not os.path.exists(self.out_model_dir) and self.ddp_local_rank in (-1, 0): + os.mkdir(self.out_model_dir) + + if self.amp: + self.scaler = GradScaler() # auto mixed precision + self.fit_seed(self.random_seed_num) + self.tokenizer = CtcTokenizer.from_pretrained( + self.in_model_dir) + self.train_ds, self.dev_ds, self.test_ds = self.load_data() + self.model, self.optimizer, self.scheduler = self.load_suite() + + self._id2dtag, self._dtag2id, self._id2ctag, self._ctag2id = self.load_label_vocab() + + self._keep_id_in_ctag = self._ctag2id['$KEEP'] + + @staticmethod + def load_texts_from_fp(file_path): + trg_texts, src_texts = [], [] + + if '.txt' in file_path: + for line in open(file_path, 'r', encoding='utf-8'): + line = line.strip().split('\t') + if line: + # 需注意txt文件中src和trg前后关系 + src_texts.append(line[0]) + trg_texts.append(line[1]) + elif '.json' in file_path: + json_data = json.load(open(file_path, 'r', encoding='utf-8')) + for line in json_data: + src_texts.append(line['source']) + trg_texts.append(line['target']) + + + return src_texts, trg_texts + + def load_label_vocab(self): + dtag_fp = os.path.join(self.ctc_label_vocab_dir, 'ctc_detect_tags.txt') + ctag_fp = os.path.join(self.ctc_label_vocab_dir, + 'ctc_correct_tags.txt') + + id2dtag = [line.strip() for line in open(dtag_fp, encoding='utf8')] + d_tag2id = {v: i for i, v in enumerate(id2dtag)} + + id2ctag = [line.strip() for line in open(ctag_fp, encoding='utf8')] + c_tag2id = {v: i for i, v in enumerate(id2ctag)} + logger.info('d_tag num: {}, d_tags:{}'.format(len(id2dtag), d_tag2id)) + return id2dtag, d_tag2id, id2ctag, c_tag2id + + def load_data(self) -> List[DataLoader]: + + # 加载train-dataset + train_src_texts, train_trg_texts = self.load_texts_from_fp( + self.train_fp) + + train_ds = DatasetCTC( + in_model_dir=self.in_model_dir, + src_texts=train_src_texts, + trg_texts=train_trg_texts, + max_seq_len=self.max_seq_len, + ) + + if self.dev_fp is not None: + dev_src_texts, dev_trg_texts = self.load_texts_from_fp( + self.dev_fp) + dev_ds = DatasetCTC( + in_model_dir=self.in_model_dir, + src_texts=dev_src_texts, + trg_texts=dev_trg_texts, + max_seq_len=self.max_seq_len, + ) + else: + # 如果没有dev set,则从训练集切分 + _dev_size = max(int(len(train_ds) * self.dev_data_ratio), 1) + _train_size = len(train_ds) - _dev_size + train_ds, dev_ds = torch.utils.data.random_split( + train_ds, [_train_size, _dev_size]) + + if self.test_fp is not None: + test_src_texts, test_trg_texts = self.load_texts_from_fp( + self.test_fp) + test_ds = DatasetCTC( + in_model_dir=self.in_model_dir, + src_texts=test_src_texts, + trg_texts=test_trg_texts, + max_seq_len=self.max_seq_len, + ) + + else: + test_ds = None + + self._train_size = len(train_ds) + self._dev_size = len(dev_ds) + self._test_size = len(test_ds) if test_ds is not None else 0 + + self._train_steps = ceil( + self._train_size / self.batch_size) # 训练总step num + self._dev_steps = ceil(self._dev_size / self.batch_size) # 训练总step num + self._test_steps = ceil( + self._test_size / self.batch_size) # 训练总step num + + self.check_val_every_n_steps = ceil( + self.check_val_every_n_epoch * self._train_steps) # 每多少个step进行验证 + + # 如果是分布式训练，则步数要除以总节点数 + self._train_steps = ceil(self._train_steps / self.ddp_nodes_num) + self._dev_steps = ceil(self._dev_steps / self.ddp_nodes_num) + self._test_steps = ceil(self._test_steps / self.ddp_nodes_num) + + if self.check_val_every_n_steps < 10: + self.check_val_every_n_steps = 10 + + logger.info('_train_size:{}'.format(self._train_size)) + logger.info('_dev_size:{}'.format(self._dev_size)) + logger.info('_test_size:{}'.format(self._test_size)) + + logger.info('Total Steps of one epoch : {}'.format(self._train_steps)) + logger.info('Evaluation every {} steps'.format( + self.check_val_every_n_steps)) + + if self.ddp_local_rank != -1: + # 如果使用分布式训练, 对train_ds进行DistributedSampler + train_ds = torch.utils.data.dataloader.DataLoader( + train_ds, sampler=DistributedSampler(train_ds), batch_size=self.batch_size, num_workers=4) + + dev_ds = torch.utils.data.dataloader.DataLoader( + dev_ds, batch_size=self.batch_size, shuffle=False, num_workers=4) + + if test_ds is not None: + test_ds = torch.utils.data.dataloader.DataLoader( + test_ds, batch_size=self.batch_size, shuffle=False, num_workers=4) + + else: + train_ds = torch.utils.data.dataloader.DataLoader( + train_ds, batch_size=self.batch_size, shuffle=True, num_workers=4) + dev_ds = torch.utils.data.dataloader.DataLoader( + dev_ds, batch_size=self.batch_size, shuffle=False, num_workers=4) + if test_ds is not None: + test_ds = torch.utils.data.dataloader.DataLoader( + test_ds, batch_size=self.batch_size, shuffle=False, num_workers=4) + + return [train_ds, dev_ds, test_ds] + + def load_suite(self): + "model" + model = ModelingCtcBert.from_pretrained( + self.in_model_dir) + + if self.freeze_embedding: + embedding_name_list = ('embeddings.word_embeddings.weight', + 'embeddings.position_embeddings.weight', + 'embeddings.token_type_embeddings.weight') + for named_para in model.named_parameters(): + named_para[1].requires_grad = False if named_para[ + 0] in embedding_name_list else True + + "optimizer" + # bert常用权重衰减 + model_params = list(model.named_parameters()) + no_decay = ['bias', 'LayerNorm.bias', 'LayerNorm.weight'] + optimizer_grouped_parameters = [{ + 'params': [ + p for n, p in model_params + if not any(nd in n for nd in no_decay) + ], + 'weight_decay': + 0.01 + }, { + 'params': + [p for n, p in model_params if any(nd in n for nd in no_decay)], + 'weight_decay': + 0.0 + }] + + optimizer = AdamW(optimizer_grouped_parameters, lr=self.learning_rate) + "scheduler" + scheduler = get_linear_schedule_with_warmup( + optimizer=optimizer, + num_warmup_steps=self._warmup_steps, + num_training_steps=self._train_steps + ) if self._warmup_steps != -1 else None + return model, optimizer, scheduler + + def save_model(self, out_model_dir): + "保存模型" + model_to_save = self.model.module if hasattr( + self.model, 'module') else self.model + if self.ddp_local_rank in (-1, 0): + if not os.path.exists(out_model_dir): + + os.mkdir(out_model_dir) + model_to_save.save_pretrained(out_model_dir) + self.tokenizer.save_pretrained(out_model_dir) + logger.info('=========== New Model saved at {} ============='.format( + out_model_dir)) + + @staticmethod + def fit_seed(random_seed_num): + "固定随机种子 保证每次结果一样" + np.random.seed(random_seed_num) + torch.manual_seed(random_seed_num) + torch.cuda.manual_seed_all(random_seed_num) + torch.backends.cudnn.deterministic = True + + def train(self): + """[summary] + Args: + wait_cuda_memory (bool, optional): []. Defaults to False. + Returns: + [type]: [description] + """ + + + self.equip_cuda() + best_eval_score = 0 + ith_early_stop_time = 0 + final_eval_scores_for_early_stop = [] + steps = ceil(self._train_size / self.batch_size) + epoch_end_flag = False # 每个epoch再验证 + for epoch in range(1, self.epochs + 1): + if self.ddp_local_rank != -1: + self.train_ds.sampler.set_epoch(epoch) + if self.with_train_epoch_metric: + epoch_preds, epoch_gold_labels = [], [] + else: + epoch_preds, epoch_gold_labels = None, None + epoch_c_loss = 0 + for step, batch_ds in track(enumerate(self.train_ds), + description='Training', + total=self._train_steps): + step += 1 + + # 训练过程可能有些许数据出错，跳过 + try: + batch_c_loss, batch_gold, batch_pred = self.train_step( + batch_ds, return_for_epoch_metric=self.with_train_epoch_metric) + except RuntimeError as e: + logger.error('ignore training step error!!') + logger.exception(e) + continue + + if self.with_train_epoch_metric: + epoch_preds += batch_pred + epoch_gold_labels += batch_gold + + epoch_c_loss += batch_c_loss + if (step % self.check_val_every_n_steps == 0 or epoch_end_flag) and self.ddp_local_rank in (-1, 0): + # 到达验证步数，则开始验证，保存模型，记录最大的dev指标 + logger.info('[Start Evaluating]: local rank {}'.format( + self.ddp_local_rank)) + epoch_end_flag = False + eval_epoch_c_loss, eval_epoch_precision, eval_epoch_recall, eval_epoch_f1 = self.evaluate( + dataset_type='dev') + log_text = '[Evaluating] Epoch {}/{}, Step {}/{}, ' \ + 'epoch_c_loss:{}, epoch_precision:{}, epoch_recall:{}, epoch_f1:{}, ' + logger.info( + log_text.format(epoch, self.epochs, step, steps, + eval_epoch_c_loss, eval_epoch_precision, + eval_epoch_recall, eval_epoch_f1, + )) + if self.test_ds is not None: + + test_epoch_c_loss, test_epoch_precision, test_epoch_recall, test_epoch_f1 = self.evaluate( + dataset_type='test') + + log_text = '[Testing] Epoch {}/{}, Step {}/{}, ' \ + 'epoch_c_loss:{}, epoch_precision:{}, epoch_recall:{}, epoch_f1:{}' + logger.info( + log_text.format(epoch, self.epochs, step, steps, + test_epoch_c_loss, test_epoch_precision, + test_epoch_recall, test_epoch_f1, + )) + + if eval_epoch_f1 >= 0: + # + if eval_epoch_f1 > best_eval_score: + best_eval_score = eval_epoch_f1 + # 重置early stop次数 + ith_early_stop_time = 0 + final_eval_scores_for_early_stop = [] + else: + # 验证集指标在下降，记录次数，为提前结束做准备。 + ith_early_stop_time += 1 + final_eval_scores_for_early_stop.append( + eval_epoch_f1) + if ith_early_stop_time >= self.early_stop_times: + logger.info( + '[Early Stop], final eval_score:{}'.format( + final_eval_scores_for_early_stop)) + return + if self.test_ds is not None: + test_f1_str = str(round(test_epoch_f1 * 100, + 2)).replace('.', '_') + '%' + else: + test_f1_str = 'None' + dev_f1_str = str(round(eval_epoch_f1 * 100, + 2)).replace('.', '_') + '%' + metric_str = 'epoch{},step{},testf1_{},devf1_{}'.format(epoch, step, + test_f1_str, dev_f1_str) + saved_dir = os.path.join( + self.out_model_dir, metric_str) + if self.ddp_local_rank in (-1, 0): + self.save_model(saved_dir) + + if eval_epoch_f1 >= 1: + # 验证集指标达到100% + logger.info( + 'Devset f1-score has reached to 1.0, check testset f1') + if self.test_ds is not None and test_epoch_f1>=1: + logger.info( + 'Testset f1-score has reached to 1.0, stop training') + return + + if self.with_train_epoch_metric: + epoch_src = [self._keep_id_in_ctag]*len(epoch_src) + (d_precision, d_recall, d_f1), (c_precision, c_recall, c_f1) = ctc_f1( + src_texts=[epoch_src], trg_texts=[epoch_gold_labels], pred_texts=[epoch_preds]) + + else: + epoch_precision, epoch_recall, epoch_f1 = None, None, None + + if self.ddp_local_rank in (-1, 0): + logger.info('Epoch End..') + epoch_end_flag = True + log_text = '[Training epoch] Epoch {}/{},' \ + 'epoch_c_loss:{}, epoch_precision:{}, epoch_recall:{}, epoch_f1:{}' + logger.info( + log_text.format(epoch, self.epochs, epoch_c_loss, + epoch_precision, epoch_recall, epoch_f1)) + + return 1 + + def equip_cuda(self): + + if torch.cuda.is_available(): + self.model.cuda() + # self.criterion.cuda() + device_count = torch.cuda.device_count() + devices_ids = list(range(device_count)) + if self.training_mode == 'dp' and device_count > 1: + self.model = torch.nn.DataParallel(self.model, + device_ids=devices_ids) + logger.info('DP training, use cuda list:{}'.format( + devices_ids)) + elif self.ddp_local_rank != -1: + self.model = DDP(self.model, device_ids=[int( + self.ddp_local_rank)], output_device=int(self.ddp_local_rank), find_unused_parameters=True) + logger.info('DDP training, use cuda list:{}'.format( + devices_ids)) + else: + logger.info('Use single cuda to train') + else: + logger.info('Use cpu to train') + + def train_step(self, batch_ds, return_for_epoch_metric=True): + + self.model.train() + + if torch.cuda.is_available(): + for k, v in batch_ds.items(): + batch_ds[k] = v.cuda() + + self.optimizer.zero_grad() + + if self.amp and torch.cuda.is_available(): + # 混合精度模式 + with autocast(): + detect_outputs, correct_output, batch_loss = self.model( + input_ids=batch_ds['input_ids'], + attention_mask=batch_ds['attention_mask'], + token_type_ids=batch_ds['token_type_ids'], + detect_labels=batch_ds['d_tags'], + correct_labels=batch_ds['c_tags'], + ) + batch_loss = batch_loss.mean() + if self._max_grad_norm is None: + self.scaler.scale(batch_loss).backward() + self.scaler.step(self.optimizer) + self.scaler.update() + else: + self.scaler.scale(batch_loss).backward() + # Unscales the gradients of optimizer's assigned params in-place + self.scaler.unscale_(self.optimizer) + # Since the gradients of optimizer's assigned params are unscaled, clips as usual: + torch.nn.utils.clip_grad_norm_( + self.model.parameters(), self._max_grad_norm) + # optimizer's gradients are already unscaled, so scaler.step does not unscale them, + # although it still skips optimizer.step() if the gradients contain infs or NaNs. + self.scaler.step(self.optimizer) + + # Updates the scale for next iteration. + self.scaler.update() + else: + # 常规模式 + detect_outputs, correct_output, batch_loss = self.model( + input_ids=batch_ds['input_ids'], + attention_mask=batch_ds['attention_mask'], + token_type_ids=batch_ds['token_type_ids'], + detect_labels=batch_ds['d_tags'], + correct_labels=batch_ds['c_tags'], + ) + batch_loss = batch_loss.mean() + if self._max_grad_norm is None: + batch_loss.backward() + self.optimizer.step() + else: + batch_loss.backward() + clip_grad_norm(self.model.parameters(), self._max_grad_norm) + self.optimizer.step() + + # scheduler + if self._warmup_steps != -1: + self.scheduler.step() + + if return_for_epoch_metric: + batch_gold = batch_ds['c_tags'].view(-1).tolist() + batch_pred = torch.argmax(correct_output, + dim=-1).view(-1).tolist() + + seq_true_idx = np.argwhere(batch_gold != self._loss_ignore_id) + batch_gold = batch_gold[seq_true_idx].squeeze() + batch_pred = batch_pred[seq_true_idx].squeeze() + + return batch_loss.item(), list(batch_gold), list(batch_pred) + else: + + return batch_loss.item(), None, None + + @torch.no_grad() + def evaluate(self, dataset_type='dev'): + # 分布式训练时, 外层调用前会确认节点为-1,0时, 才会做验证 + self.model.eval() + epoch_loss = 0 + epoch_preds, epoch_gold_labels, epoch_src = [], [], [] + ds = self.test_ds if dataset_type == 'test' else self.dev_ds + for batch_ds in ds: + if torch.cuda.is_available(): + for k, v in batch_ds.items(): + batch_ds[k] = v.cuda() + if self.amp and torch.cuda.is_available(): + with autocast(): + detect_outputs, correct_output, batch_loss = self.model( + input_ids=batch_ds['input_ids'], + attention_mask=batch_ds['attention_mask'], + token_type_ids=batch_ds['token_type_ids'], + detect_labels=batch_ds['d_tags'], + correct_labels=batch_ds['c_tags'], + ) + else: + detect_outputs, correct_output, batch_loss = self.model( + input_ids=batch_ds['input_ids'], + attention_mask=batch_ds['attention_mask'], + token_type_ids=batch_ds['token_type_ids'], + detect_labels=batch_ds['d_tags'], + correct_labels=batch_ds['c_tags'], + ) + batch_loss = batch_loss.mean() + + # correct + + batch_gold = batch_ds['c_tags'].view(-1).cpu().numpy() + batch_pred = torch.argmax(correct_output, + dim=-1).view(-1).cpu().numpy() + batch_src = batch_ds['input_ids'].view(-1).cpu().numpy() + + seq_true_idx = np.argwhere(batch_gold != self._loss_ignore_id) # 获取非pad部分的标签 + + batch_gold = batch_gold[seq_true_idx].squeeze() + batch_pred = batch_pred[seq_true_idx].squeeze() + batch_src = batch_src[seq_true_idx].squeeze() + + epoch_src += list(batch_src) + + epoch_gold_labels += list(batch_gold) + epoch_preds += list(batch_pred) + + epoch_loss += batch_loss.item() + + "因为输出和输入空间不一样，所以计算指标要对应输出空间，原字符对应输出空间的keep" + epoch_src = [self._keep_id_in_ctag]*len(epoch_src) + (d_precision, d_recall, d_f1), (c_precision, c_recall, c_f1) = ctc_f1( + src_texts=[epoch_src], trg_texts=[epoch_gold_labels], pred_texts=[epoch_preds]) + + return epoch_loss, c_precision, c_recall, c_f1 diff --git a/src/corrector.py b/src/corrector.py new file mode 100644 index 0000000..3e1ffc5 --- /dev/null +++ b/src/corrector.py @@ -0,0 +1,27 @@ + +from typing import List + +from src.baseline.predictor import PredictorCtc + + +class Corrector: + def __init__(self, in_model_dir:str): + """_summary_ + + Args: + in_model_dir (str): 训练好的模型目录 + """ + self._predictor = PredictorCtc( + in_model_dir=in_model_dir, + ctc_label_vocab_dir='src/baseline/ctc_vocab', + use_cuda=True, + cuda_id=None, + ) + + + def __call__(self, texts:List[str]) -> List[str]: + pred_outputs = self._predictor.predict(texts) + pred_texts = [PredictorCtc.output2text(output) for output in pred_outputs] + return pred_texts + + \ No newline at end of file diff --git a/src/evaluate.py b/src/evaluate.py new file mode 100644 index 0000000..296a6fd --- /dev/null +++ b/src/evaluate.py @@ -0,0 +1,33 @@ +import json +from src.corrector import Corrector +from src.metric import final_f1_score + + +def evaluate(in_model_dir,json_data_file, log_fp='logs/f1_score.log'): + """输入模型目录，数据， 计算模型在该数据下的指标 + + """ + + json_data = json.load(open(json_data_file, 'r', encoding='utf-8')) + src_texts, trg_texts = [], [] + for line in json_data: + src_texts.append(line['source']) + trg_texts.append(line['target']) + + corrector = Corrector(in_model_dir=in_model_dir) + pred_texts = corrector(texts=src_texts) + f1_score = final_f1_score(src_texts=src_texts, + pred_texts=pred_texts, + trg_texts=trg_texts, + log_fp=log_fp) + + return f1_score + + +if __name__ == '__main__': + + evaluate( + in_model_dir='model/ctc_train_2022Y04M27D16H/epoch4,step1,testf1_45_3%,devf1_23_53%', + json_data_file='data/preliminary_data/preliminary_val.json', + ) + \ No newline at end of file diff --git a/src/metric.py b/src/metric.py new file mode 100644 index 0000000..ddcd8c9 --- /dev/null +++ b/src/metric.py @@ -0,0 +1,230 @@ +import json +from difflib import SequenceMatcher + +from src import logger + + +def f1(precision, recall): + if precision + recall == 0: + return 0 + return round(2 * precision * recall / (precision + recall), 4) + + +def compute_label_nums(src_text, trg_text, pred_text, log_error_to_fp=None): + assert len(src_text) == len(trg_text) == len( + pred_text), 'src_text:{}, trg_text:{}, pred_text:{}'.format(src_text, trg_text, pred_text) + pred_num, detect_num, correct_num, ref_num = 0, 0, 0, 0 + + for j in range(len(trg_text)): + src_char, trg_char, pred_char = src_text[j], trg_text[j], pred_text[j] + if src_char != trg_char: + ref_num += 1 + if src_char != pred_char: + detect_num += 1 + elif log_error_to_fp is not None and pred_char != trg_char and pred_char == src_char: + log_text = '漏报\t{}\t{}\t{}\t{}\t{}\t{}\n'.format( + src_text, trg_text, src_char, trg_char, pred_char, j) + log_error_to_fp.write(log_text) + + if src_char != pred_char: + pred_num += 1 + if pred_char == trg_char: + correct_num += 1 + elif log_error_to_fp is not None and pred_char != trg_char and src_char == trg_char: + log_text = '误报\t{}\t{}\t{}\t{}\t{}\t{}\n'.format( + src_text, trg_text, src_char, trg_char, pred_char, j) + log_error_to_fp.write(log_text) + elif log_error_to_fp is not None and pred_char != trg_char and src_char != trg_char: + log_text = '错报(检对报错)\t{}\t{}\t{}\t{}\t{}\t{}\n'.format( + src_text, trg_text, src_char, trg_char, pred_char, j) + log_error_to_fp.write(log_text) + + return (pred_num, detect_num, correct_num, ref_num) + + +def ctc_f1(src_texts, trg_texts, pred_texts, log_error_to_fp=None): + """训练过程中字级别序列标注任务的F1计算 + + Args: + src_texts ([type]): [源文本] + trg_texts ([type]): [目标文本] + pred_texts ([type]): [预测文本] + log_error_to_fp : 文本路径 + + Returns: + [type]: [description] + """ + if isinstance(src_texts, str): + src_texts = [src_texts] + if isinstance(trg_texts, str): + trg_texts = [trg_texts] + if isinstance(pred_texts, str): + pred_texts = [pred_texts] + lines_length = len(trg_texts) + assert len(src_texts) == lines_length == len( + pred_texts), 'keep equal length' + all_pred_num, all_detect_num, all_correct_num, all_ref_num = 0, 0, 0, 0 + if log_error_to_fp is not None: + f = open(log_error_to_fp, 'w', encoding='utf-8') + f.write('type\tsrc_text\ttrg_text\tsrc_char\ttrg_char\tpred_char\tchar_index\n') + else: + f = None + + all_nums = [compute_label_nums(src_texts[i], trg_texts[i], pred_texts[i], f) + for i in range(lines_length)] + if log_error_to_fp is not None: + f.close() + for i in all_nums: + all_pred_num += i[0] + all_detect_num += i[1] + all_correct_num += i[2] + all_ref_num += i[3] + + d_precision = round(all_detect_num/all_pred_num, + 4) if all_pred_num != 0 else 0 + d_recall = round(all_detect_num/all_ref_num, 4) if all_ref_num != 0 else 0 + c_precision = round(all_correct_num/all_pred_num, + 4) if all_pred_num != 0 else 0 + c_recall = round(all_correct_num/all_ref_num, 4) if all_ref_num != 0 else 0 + + d_f1, c_f1 = f1(d_precision, d_recall), f1(c_precision, c_recall) + + logger.info('====== [Char Level] ======') + logger.info('d_precsion:{}%, d_recall:{}%, d_f1:{}%'.format( + d_precision*100, d_recall*100, d_f1*100)) + logger.info('c_precsion:{}%, c_recall:{}%, c_f1:{}%'.format( + c_precision*100, c_recall*100, c_f1*100)) + logger.info('error_char_num: {}'.format(all_ref_num)) + return (d_precision, d_recall, d_f1), (c_precision, c_recall, c_f1) + + +def ctc_comp_f1_sentence_level(src_texts, pred_texts, trg_texts): + "计算负样本的 句子级 纠正级别 F1" + correct_ref_num, correct_pred_num, correct_recall_num, correct_f1 = 0, 0, 0, 0 + for src_text, pred_text, trg_text in zip(src_texts, pred_texts, trg_texts): + if src_text != pred_text: + correct_pred_num += 1 + if src_text != trg_text: + correct_ref_num += 1 + if src_text != trg_text and pred_text == trg_text: + correct_recall_num += 1 + + assert correct_ref_num > 0, '文本中未发现错误，无法计算指标，该指标只计算含有错误的样本。' + + correct_precision = 0 if correct_recall_num == 0 else correct_recall_num / correct_pred_num + correct_recall = 0 if correct_recall_num == 0 else correct_recall_num / correct_ref_num + correct_f1 = f1(correct_precision, correct_recall) + + return correct_precision, correct_recall, correct_f1 + + +def ctc_comp_f1_token_level(src_texts, pred_texts, trg_texts): + "字级别，负样本 检测级别*0.8+纠正级别*0.2 f1" + def compute_detect_correct_label_list(src_text, trg_text): + detect_ref_list, correct_ref_list = [], [] + diffs = SequenceMatcher(None, src_text, trg_text).get_opcodes() + for (tag, src_i1, src_i2, trg_i1, trg_i2) in diffs: + + if tag == 'replace': + for count, src_i in enumerate(range(src_i1, src_i2)): + trg_token = trg_text[src_i+count] + detect_ref_list.append(src_i) + correct_ref_list.append((src_i, trg_token)) + + elif tag == 'delete': + for count, src_i in enumerate(range(src_i1, src_i2)): + trg_token = '' + detect_ref_list.append(src_i1) + correct_ref_list.append((src_i1, trg_token)) + + elif tag == 'insert': + trg_token = trg_text[trg_i1:trg_i2] + detect_ref_list.append(src_i1) + correct_ref_list.append((src_i1, trg_token)) + + return detect_ref_list, correct_ref_list + + # 字级别 + detect_ref_num, detect_pred_num, detect_recall_num, detect_f1 = 0, 0, 0, 0 + correct_ref_num, correct_pred_num, correct_recall_num, correct_f1 = 0, 0, 0, 0 + + for src_text, pred_text, trg_text in zip(src_texts, pred_texts, trg_texts): + # 先统计检测和纠正标签 + detect_pred_list, correct_pred_list = compute_detect_correct_label_list( + src_text, pred_text) + detect_ref_list, correct_ref_list = compute_detect_correct_label_list( + src_text, trg_text) + + detect_ref_num += len(detect_ref_list) + detect_pred_num += len(detect_pred_list) + detect_recall_num += len(set(detect_ref_list) + & set(detect_pred_list)) + + correct_ref_num += len(correct_ref_list) + correct_pred_num += len(correct_pred_list) + correct_recall_num += len(set(correct_ref_list) + & set(correct_pred_list)) + + assert correct_ref_num > 0, '文本中未发现错误，无法计算指标，该指标只计算含有错误的样本。' + + detect_precision = 0 if detect_pred_num == 0 else detect_recall_num / detect_pred_num + detect_recall = 0 if detect_ref_num == 0 else detect_recall_num / detect_ref_num + + correct_precision = 0 if detect_pred_num == 0 else correct_recall_num / correct_pred_num + correct_recall = 0 if detect_ref_num == 0 else correct_recall_num / correct_ref_num + + detect_f1 = f1(detect_precision, detect_recall) + correct_f1 = f1(correct_precision, correct_recall) + + final_f1 = detect_f1*0.8+correct_f1*0.2 + + return final_f1, [detect_precision, detect_recall, detect_f1], [correct_precision, correct_recall, correct_f1] + + +def final_f1_score(src_texts, + pred_texts, + trg_texts, + log_fp='logs/f1_score.log'): + """"最终输出结果F1计算，综合了句级F1和字级F1" + + Args: + src_texts (_type_): 源文本 + pred_texts (_type_): 预测文本 + trg_texts (_type_): 目标文本 + log_fp (str, optional): _description_. Defaults to 'logs/f1_score.log'. + + Returns: + _type_: _description_ + """ + + + + token_level_f1, detect_metrics, correct_metrcis = ctc_comp_f1_token_level( + src_texts, pred_texts, trg_texts) + sent_level_f1, sent_level_p, sent_level_r = ctc_comp_f1_sentence_level( + src_texts, pred_texts, trg_texts) + final_f1 = round(0.8*token_level_f1 + sent_level_f1*0.2, 4) + + json_data = { + + 'token_level:[detect_precision, detect_recall, detect_f1]': detect_metrics, + 'token_level:[correct_precision, correct_recall, correct_f1] ': correct_metrcis, + 'token_level:f1': token_level_f1, + + 'sentence_level:[correct_precision, correct_recall]': [sent_level_p, sent_level_r], + 'sentence_level:f1': sent_level_f1, + + 'final_f1': final_f1 + } + _log_fp = open(log_fp, 'w', encoding='utf-8') + json.dump(json_data, _log_fp, indent=4) + logger.info('final f1:{}'.format(final_f1)) + logger.info('f1 logfile saved at:{}'.format(log_fp)) + return final_f1 + + +if __name__ == '__main__': + s = final_f1_score(src_texts=['你号钟国', '我知道知道这件情了！'], + pred_texts=['你好中国', '我知道知道这件事情了！'], + trg_texts= ['你好中国', '我知道这件事情了！']) + print(s) diff --git a/src/prepare_for_upload.py b/src/prepare_for_upload.py new file mode 100644 index 0000000..1dbd0ed --- /dev/null +++ b/src/prepare_for_upload.py @@ -0,0 +1,28 @@ +import json + +from src.corrector import Corrector + + +def prepare_for_uploadfile(in_model_dir, + in_json_file, + out_json_file='data/test_output.json'): + + json_data_list = json.load(open(in_json_file, 'r', encoding='utf-8')) + src_texts = [ json_data['source'] for json_data in json_data_list] + corrector = Corrector(in_model_dir=in_model_dir) + pred_texts = corrector(texts=src_texts) + output_json_data = [ {'id':json_data['id'], 'inference': pred_text} for json_data, pred_text in zip(json_data_list, pred_texts)] + + out_json_file = open(out_json_file, 'w', encoding='utf-8') + json.dump(output_json_data, out_json_file, ensure_ascii=False, indent=4) + + + + + +if __name__ == '__main__': + prepare_for_uploadfile( + in_model_dir='model/ctc_train_2022Y04M27D16H/epoch4,step1,testf1_25_3%,devf1_23_53%', + in_json_file='data/preliminary_data/preliminary_test_source.json', + out_json_file='data/preliminary_test_inference.json' + ) \ No newline at end of file diff --git a/src/train.py b/src/train.py new file mode 100644 index 0000000..c8bb1fb --- /dev/null +++ b/src/train.py @@ -0,0 +1,90 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +import inspect +import os +from typing import Optional + +import torch +import torch.distributed as dist +from auto_argparse import parse_args_and_run +from torch.multiprocessing import spawn + +from src.baseline.trainer import TrainerCtc + + + +def ddp_train_wrapper(ddp_local_rank, + train_kwargs + ): + "Distributed Data Parallel Training" + # setup ddp env + os.environ['MASTER_ADDR'] = 'localhost' + os.environ['MASTER_PORT'] = '12355' + dist.init_process_group('nccl', rank=ddp_local_rank, + world_size=train_kwargs['ddp_nodes_num']) + torch.cuda.set_device(ddp_local_rank) + train_kwargs['ddp_local_rank'] = ddp_local_rank + trainer = TrainerCtc(**train_kwargs) + trainer.train() + # clear ddp env + dist.destroy_process_group() + + +def train_entrance(in_model_dir: str = 'pretrained_model/chinese-roberta-wwm-ext', + out_model_dir: str = 'model/ctc', + epochs: int = 10, + batch_size: int = 64, + learning_rate: float = 5e-5, + max_seq_len: int = 128, + train_fp: str = 'data/example.txt', + dev_fp: str = None, + test_fp: str = None, + random_seed_num: int = 42, + check_val_every_n_epoch: Optional[float] = 0.5, + early_stop_times: Optional[int] = 100, + freeze_embedding: bool = False, + warmup_steps: int = -1, + max_grad_norm: Optional[float] = None, + dev_data_ratio: Optional[float] = 0.2, + with_train_epoch_metric: bool = False, + training_mode: str = 'normal', + amp: Optional[bool] = True): + """_summary_ + + Args: + # in_model_dir 预训练模型目录 + # out_model_dir 输出模型目录 + # epochs 训练轮数 + # batch_size batch文本数 + # max_seq_len 最大句子长度 + # learning_rate 学习率 + # train_fp 训练集文件 + # test_fp 测试集文件 + # dev_data_ratio 没有验证集时，会从训练集按照比例分割出验证集 + # random_seed_num 随机种子 + # check_val_every_n_epoch 每几轮对验证集进行指标计算 + # training_mode 训练模式 包括 ddp，dp, normal，分别代表分布式，并行，普通训练 + # amp 是否开启混合精度 + # freeze_embedding 是否冻结bert embed层 + """ + + signature = inspect.signature(train_entrance) + train_kwargs = {} + for param in signature.parameters.values(): + train_kwargs[param.name] = eval(param.name) + + if training_mode in ('normal', 'dp'): + trainer = TrainerCtc(**train_kwargs) + trainer.train() + + elif training_mode == 'ddp': + ddp_nodes_num = torch.cuda.device_count() + train_kwargs['ddp_nodes_num'] = ddp_nodes_num + spawn(ddp_train_wrapper, + args=(train_kwargs,), + nprocs=ddp_nodes_num, + join=True) + + +if __name__ == '__main__': + parse_args_and_run(train_entrance)