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README.md

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## Usage
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1. Download the [MPST Corpus](http://ritual.uh.edu/mpst-2018).
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2. Unzip the data and put the <b>MPST</b> directory inside the <b>data</b> directory.
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3. Use the data processor notebook located at <b>source/notebooks/Prepare Data.ipynb</b> to prepare the data for the model.
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3. Download the Fasttext pre-trained embeddings and edit the path in the code in the notebook.
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4. Use the data processor notebook located at <b>source/notebooks/Prepare Data.ipynb</b> to prepare the data for the model.
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The processed data would be dumped inside <b>processed_data</b> directory.
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4. After completing the processing, <b>processed_data</b> directory should look like below.
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5. After completing the processing, <b>processed_data</b> directory should look like below.
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```
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├── processed_data
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│   └── word2idx_no_process.json
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```
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5. For training, use the train.py. It will dump the model and logs in the output directory set in the code.
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6. For training, use the train.py. It will dump the model and logs in the output directory set in the code.
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