Papers with Reference Network

1 papers
Reference Network for Neural Machine Translation (P19-1)

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Challenge: Neural Machine Translation (NMT) generates translations in isolation, resulting in translation inconsistency and ambiguity.
Approach: They propose to incorporate referring process into translation decoding of NMT by using local coordinates coding to obtain global context vectors containing monolingual and bilingual contextual information.
Outcome: The proposed model improves translation quality with lightweight computation cost on Chinese-English and English-German translation tasks.

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