Parallel Sentence Extraction from Comparable Corpora with Neural Network Features

被引：0
|
作者：
Chu, Chenhui [1 ]
Dabre, Raj [2 ]
Kurohashi, Sadao [2 ]
机构：
[1] Japan Sci & Technol Agcy, Kawaguchi, Saitama, Japan
[2] Kyoto Univ, Grad Sch Informat, Kyoto, Japan
来源：
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2016年
关键词：
Parallel Sentence Extraction; Comparable Corpora; Neural Network;
D O I：
暂无
中图分类号：
H [语言、文字];
学科分类号：
05 ;
摘要：
Parallel corpora are crucial for machine translation (MT), however they are quite scarce for most language pairs and domains. As comparable corpora are far more available, many studies have been conducted to extract parallel sentences from them for MT. In this paper, we exploit the neural network features acquired from neural MT for parallel sentence extraction. We observe significant improvements for both accuracy in sentence extraction and MT performance.
引用
收藏
页码：2931 / 2935
页数：5
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