Merging example-based and statistical machine translation: An experiment

被引：0

作者：

Langlais, P ^{[1
]}

Simard, M ^{[1
]}

机构：

[1] Univ Montreal, Dept Informat & Rech Operationnelle, Lab Rech Appl & Linguist Informat RALI, Montreal, PQ H3C 3J7, Canada

来源：

MACHINE TRANSLATION: FROM RESEARCH TO REAL USERS | 2002年 / 2499卷

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：

Despite the exciting work accomplished over the past decade in the field of Statistical Machine Translation (SMT), we are still far from the point of being able to say that machine translation fully meets the needs of real-life users. In a previous study [6], we have shown how a SMT engine could benefit from terminological resources, especially when translating texts very different from those used to train the system. In the present paper, we discuss the opening of SMT to examples automatically extracted from a Translation Memory (TM). We report results on a fair-sized translation task using the database of a commercial bilingual concordancer.

引用

页码：104 / 113

页数：10

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