Tensor2Tensor for Neural Machine Translation

conference of the association for machine translation in the americas, 2018.

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While a pure sequence-to-sequence recurrent neural network can already obtain good translation results Sutskever et al; Cho et al, it suffers from the fact that the whole input sentence needs to be encoded into a single fixed-size vector

Abstract:

Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.

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