Czech-English phrase-based machine translation

被引：0
|
作者：
Bojar, Ondrej
Matusov, Evgeny
Ney, Hermann
机构：
[1] UFAL MFF UK, Inst Formal & Appl Linguist, CZ-11800 Prague, Czech Republic
[2] Rhein Westfal TH Aachen, Lehrstuhl Informat 6, Dept Comp Sci, D-52056 Aachen, Germany
来源：
ADVANCES IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS | 2006年 / 4139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：
We describe experiments with Czech-to-English phrase-based machine translation. Several techniques for improving translation quality (in terms of well-established measure BLEU) are evaluated. In total, we are able to achieve BLEU of 0.36 to 0.41 on the examined corpus of Wall Street Journal texts, outperforming all other systems evaluated on this language pair.
引用
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页码：214 / 224
页数：11
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