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Sep, 2019
动态融合:用于神经机器翻译的注意力语言模型
Dynamic Fusion: Attentional Language Model for Neural Machine Translation
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Michiki Kurosawa, Mamoru Komachi
TL;DR
该研究采用动态融合机制,将翻译模型和语言模型结合,提高了英日机器翻译的BLEU和RIBES得分,并允许符合适当语法结构的预测性语言建模。
Abstract
neural machine translation
(NMT) can be used to generate fluent output. As such, language models have been investigated for incorporation with NMT. In prior investigations, two models have been used: a
translation model
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