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py-Torch implementation of Seq2-Seq2 model with attention mechanism for translating one language into another

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
data		data
media		media
models		models
plots		plots
README.md		README.md
requirements.txt		requirements.txt
test.py		test.py
train.py		train.py

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Text Translator for Shakespearean English to Modern English

Description

1. data contains the aligned corpus of Shakespearean & Modern English

2. media contains the video on the project and project report

3. models contains the pre-trained models

4. plots contains plots of attention matrices of tests & losses during training.

5. test.py is used for testing the model. The pre-trained model will be used.

To run the code,

$ python3 test.py

6. train.py is used to train the model. Training for around 75000 iterations.

To run the code,

$ python3 train.py

7. requirements.txt contains list of modules needed to run the code.

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py-Torch implementation of Seq2-Seq2 model with attention mechanism for translating one language into another

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Python 100.0%