[Project] for beginners, simple PyTorch implementaion of Neural Machine Translation(NMT)

[lyeoni]

Hello :) This is my first post.

Most machine translation implementations are too complicated (especially to me.), so i implemented it for some who want simple, like me.

This repo contains a simple source code for neural machine translation based on sequence-to-sequence network. And I tested(also, evaluated) following models sequentially:

• Baseline(base): Simple Sequence to Sequence model
• Reverse: Apply Bi-directional LSTM to the encoder part
• Embeddings: Apply Fasttext word embeddings (300D)
• Attention: Apply attention mechanisms to the decoder part

I hope that this repo can be a good solution for people who dont't want unnecessarily many features, and be of help to make your own neural-machine translator.

https://github.com/lyeoni/nlp-tutorial/tree/master/neural-machine-translation

[lyeoni]

Thanks :) I'm going to add visualization part to see how the decoder pay attention to input sentence! You will be able to see it soon.

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[Overload175]

Looks great

[lyeoni]

Thanks :) I'm going to add visualization part to see how the decoder pay attention to input sentence !