Neural machine translation with source dependency representation
Proceedings of the 2017 Conference on Empirical Methods in Natural …, 2017•aclanthology.org
Source dependency information has been successfully introduced into statistical machine
translation. However, there are only a few preliminary attempts for Neural Machine
Translation (NMT), such as concatenating representations of source word and its
dependency label together. In this paper, we propose a novel NMT with source dependency
representation to improve translation performance of NMT, especially long sentences.
Empirical results on NIST Chinese-to-English translation task show that our method …
translation. However, there are only a few preliminary attempts for Neural Machine
Translation (NMT), such as concatenating representations of source word and its
dependency label together. In this paper, we propose a novel NMT with source dependency
representation to improve translation performance of NMT, especially long sentences.
Empirical results on NIST Chinese-to-English translation task show that our method …
Abstract
Source dependency information has been successfully introduced into statistical machine translation. However, there are only a few preliminary attempts for Neural Machine Translation (NMT), such as concatenating representations of source word and its dependency label together. In this paper, we propose a novel NMT with source dependency representation to improve translation performance of NMT, especially long sentences. Empirical results on NIST Chinese-to-English translation task show that our method achieves 1.6 BLEU improvements on average over a strong NMT system.
aclanthology.org