The CASIA phrase-based machine translation system

被引：0

作者：

Yang, ZD ^{[1
]}

Chen, ZB ^{[1
]}

Pang, W ^{[1
]}

Wei, W ^{[1
]}

Xu, B ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Hitech Innovat Ctr, Beijing 100080, Peoples R China

来源：

PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING AND KNOWLEDGE ENGINEERING (IEEE NLP-KE'05) | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a phrase-based translation system. In the system, we use phrase translation model instead of word-based model. An improved method to compute phrase translation probability is studied. A phrase-based decoder we developed employs a beam search algorithm, in which some target language words that have both high frequency of appearance and also fertility zero are introduced to make the result more reasonable. We improve the previously proposed tracing back algorithm to get the best path. Some experiments concerned are presented.

引用

页码：416 / 419

页数：4

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