Modeling Latent Sentence Structure in Neural Machine Translation

arXiv: Computation and Language, Volume abs/1901.06436, 2019.

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Abstract:

Recently it was shown that linguistic structure predicted by a supervised parser can be beneficial for neural machine translation (NMT). In this work we investigate a more challenging setup: we incorporate sentence structure as a latent variable in a standard NMT encoder-decoder and induce it in such a way as to benefit the translation ta...More

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