Dependency Parsing on Source Language with Reordering Information in SMT

被引：1

作者：

Chen, Lei ^{[1
]}

Li, Miao ^{[1
]}

He, Miantao ^{[1
]}

Liu, Hui ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Intelligent Machines, Hefei, Peoples R China

[2] Univ Sci & Technol China, Chinese Acad Sci, Inst Intelligent Machines, Hefei, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2012) | 2012年

基金：

中国国家自然科学基金;

关键词：

machine translation; source-side Reordering; dependency Parsing;

D O I：

10.1109/IALP.2012.35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In statistical machine translation, many translation errors may easily occur especially when the word orders are very different between source language and target language, especially with asymmetric morphological structures. The paper investigates combining a rule-based reordering model with conventional dependency parsing at the source side, which can alleviate both the asymmetry of morphological structures and the word orders between source language and target language. Experiments show that this method can improve the performance of the statistical machine translation system.

引用

页码：133 / 136

页数：4

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