Supports for Korean BertScore #195
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- Add AIHub Korean translation quality assessment dataset support - Add Korean BERT models (kykim/bert-kor-base, klue/bert-base, etc.) - Implement data preprocessing for AIHub dataset - Add Korean font support for visualization - Update gitignore for new data directories This commit enables BERTScore evaluation on Korean translation pairs (en-ko, ja-ko, zh-ko) using AIHub's translation quality assessment dataset and various Korean BERT models.
This commit refactors the preprocess.py and tune_layers.py files.
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Korean BertScore
Implementation of BERTScore for Korean text generation evaluation.
Key Features
Experiment
sheet