Tree-to-Sequence Attentional Neural Machine Translation

ACL 2016 Akiko EriguchiKazuma HashimotoYoshimasa Tsuruoka

Most of the existing Neural Machine Translation (NMT) models focus on the conversion of sequential data and do not directly use syntactic information. We propose a novel end-to-end syntactic NMT model, extending a sequence-to-sequence model with the source-side phrase structure... (read more)

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