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Neural Machine Translation using word level seq2seq model and embeddings

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nmt_keras

While there are many char-level encoder-decoder models available, those are not meant for translation tasks. As in the words of keras team 'Note that it is fairly unusual to do character-level machine translation, as word-level models are more common in this domain.'

This is a working keras model based on word embeddings.

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Neural Machine Translation using word level seq2seq model and embeddings

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