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pytorch-nlp's Introduction

pytorch-nlp

1 word embedding

python run.py

2 named entity recognition

2.1 Train the model

python train.py

3 machine translation

3.1 Preprocess the data

python preprocess.py -train_src data/nmt/src-train.txt -train_tgt data/nmt/tgt-train.txt -valid_src data/nmt/src-val.txt
 -valid_tgt data/nmt/tgt-val.txt -save_data data/nmt/demo

3.2 Train the model

python train.py -data data/nmt/demo -save_model demo-model

3.3 Translate

python translate.py -model demo-model_epochX_PPL.pt -src data/nmt/src-test.txt -output pred.txt -replace_unk -verbose

4 chatbot

4.1 Train the model

python main.py -tr pytorch-nlp/data/chatbot/train_little.txt -sd pytorch-nlp/data/chatbot/save

4.2 Test the model

python main.py -te pytorch-nlp/data/chatbot/model/model.tar \
-c pytorch-nlp/data/chatbot/train_little.txt \
-sd pytorch-nlp/data/chatbot/save

5 speech recognition

5.1 Train the model

python train.py --train-manifest data/train_manifest.csv --val-manifest data/val_manifest.csv

5.2 Testing/Inference

python test.py --model-path models/deepspeech.pth.tar --test-manifest /path/to/test_manifest.csv

reference

https://github.com/OpenNMT/OpenNMT-py

https://github.com/ywk991112/pytorch-chatbot

https://github.com/SeanNaren/deepspeech.pytorch

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