Install (#36)

* remove conda pynini install Signed-off-by: Yang Zhang <[email protected]> * added pynini install note Signed-off-by: Yang Zhang <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix text Signed-off-by: Yang Zhang <[email protected]> * fix Signed-off-by: Yang Zhang <[email protected]> --------- Signed-off-by: Yang Zhang <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
NVIDIA · Feb 7, 2023 · 34350d9 · 34350d9
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diff --git a/tutorials/Text_(Inverse)_Normalization.ipynb b/tutorials/Text_(Inverse)_Normalization.ipynb
@@ -31,7 +31,7 @@
    "metadata": {},
    "source": [
     "# Overview\n",
-    "<img src=\"https://raw.githubusercontent.com/NVIDIA/NeMo/main/tutorials/text_processing/images/task_overview.png\" width=\"600\"/>"
+    "<img src=\"https://raw.githubusercontent.com/NVIDIA/NeMo-text-processing/main/tutorials/images/task_overview.png\" width=\"600\"/>"
    ]
   },
   {
@@ -59,7 +59,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "## Install NeMo, which installs both nemo and nemo_text_processing package\n",
+    "## Install NeMo-text-processing\n",
     "BRANCH = 'main'\n",
     "!python -m pip install git+https://github.com/NVIDIA/NeMo-text-processing.git@$BRANCH#egg=nemo_text_processing"
    ]
@@ -355,7 +355,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=\"https://raw.githubusercontent.com/NVIDIA/NeMo/main/tutorials/text_processing/images/audio_based_tn.png\" width=\"600\"/>"
+    "<img src=\"https://raw.githubusercontent.com/NVIDIA/NeMo-text-processing/main/tutorials/images/audio_based_tn.png\" width=\"600\"/>"
    ]
   },
   {
@@ -411,7 +411,7 @@
    "source": [
     "# Tutorial on how to customize grammars\n",
     "\n",
-    "https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/text_processing/WFST_Tutorial.ipynb\n"
+    "https://colab.research.google.com/github/NVIDIA/NeMo-text-processing/blob/main/tutorials/WFST_Tutorial.ipynb\n"
    ]
   },
   {

diff --git a/tutorials/WFST_Tutorial.ipynb b/tutorials/WFST_Tutorial.ipynb
@@ -38,7 +38,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "## Install NeMo, which installs both nemo and nemo_text_processing package\n",
+    "## Install NeMo-text-processing\n",
     "BRANCH = 'main'\n",
     "!python -m pip install git+https://github.com/NVIDIA/NeMo-text-processing.git@$BRANCH#egg=nemo_text_processing"
    ]
@@ -359,7 +359,7 @@
     "- [Y. Zhang, E. Bakhturina, K. Gorman, and B. Ginsburg, \"NeMo Inverse Text Normalization: From Development To Production\"](https://arxiv.org/pdf/2104.05055.pdf)\n",
     "- [NeMo's Text Normalization Documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/text_normalization/wfst/intro.html) \n",
     "- [NeMo's Text Normalization Deployment Documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/text_normalization/wfst/wfst_text_processing_deployment.html)\n",
-    "- NeMo's [Text Normalization Introduction Tutorial](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/text_processing/Text_Normalization.ipynb)\n",
+    "- NeMo's [Text Normalization Introduction Tutorial](https://colab.research.google.com/github/NVIDIA/NeMo-text-processing/blob/main/tutorials/Text_(Inverse)_Normalization.ipynb)\n",
     "- [Sparrowhawk Documentation](https://github.com/google/sparrowhawk)"
    ]
   },
@@ -6887,7 +6887,7 @@
     "id": "VrSccoh9K6JK"
    },
    "source": [
-    "Now that we have done all the groundwork, we can finally move to deployment. This final section will just cover the minor code alterations required to call your language through NeMo ITN and deploy through Sparrowhawk. For further information on using NeMo ITN, please see [this tutorial](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/text_processing/Inverse_(Text)_Normalization.ipynb). "
+    "Now that we have done all the groundwork, we can finally move to deployment. This final section will just cover the minor code alterations required to call your language through NeMo ITN and deploy through Sparrowhawk. For further information on using NeMo ITN, please see [this tutorial](https://colab.research.google.com/github/NVIDIA/NeMo-text-processing/blob/main/tutorials/Text_(Inverse)_Normalization.ipynb). "
    ]
   },
   {
@@ -7013,7 +7013,7 @@
     "\n",
     "For Audio-based non-deterministic text normalization please extend your grammars with additional output options for ambiguous options. Every semiotic class has a input flag `deterministic` which is by default set to True. For non-deterministic text normalization add additional grammar for the case `deterministic=False` \n",
     "\n",
-    "We also recommend to look at the source of some of the existing [languages](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/text_normalization/wfst/wfst_text_normalization.html#language-support), in particular English: https://github.com/NVIDIA/NeMo/tree/main/nemo_text_processing/inverse_text_normalization/en."
+    "We also recommend to look at the source of some of the existing [languages](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/text_normalization/wfst/wfst_text_normalization.html#language-support), in particular English: https://github.com/NVIDIA/NeMo-text-processing/tree/main/nemo_text_processing/inverse_text_normalization/en."
    ]
   }
  ],