CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Phrase Table as Recommendation Memory for Neural Machine Translation
Zhao, Yang; Wang, Yining; Zhang, Jiajun; Zong, Chengqing
2018
会议名称IJCAI
会议日期2018-7
会议地点Stockholm, Sweden
摘要

Neural Machine Translation (NMT) has drawn much attention due to its promising translation performance recently. However, several studies indicate that NMT often generates fluent but unfaithful translations. In this paper, we propose a method to alleviate this problem by using a phrase table as recommendation memory. The main idea is to add bonus to words worthy of recommendation, so that NMT can make correct predictions. Specifically, we first derive a prefix tree to accommodate all the candidate target phrases by searching the phrase translation table according to the source sentence. Then, we construct a recommendation word set by matching between candidate target phrases and previously translated target words by NMT. After that, we determine the specific bonus value for each recommendable word by using the attention vector and phrase translation probability. Finally, we integrate this bonus value into NMT to improve the translation results. The extensive experiments demonstrate that the proposed methods obtain remarkable improvements over the strong attentionbased NMT.

语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/23202
专题模式识别国家重点实验室_自然语言处理
作者单位中国科学院自动化研究所
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhao, Yang,Wang, Yining,Zhang, Jiajun,et al. Phrase Table as Recommendation Memory for Neural Machine Translation[C],2018.
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