N-gram-based machine translation

被引：85

作者：

Marino, Jose B. ^{[1
]}

Banchs, Rafael E. ^{[1
]}

Crego, Josep M. ^{[1
]}

de Gispert, Adria ^{[1
]}

Lambert, Patrik ^{[1
]}

Fonollosa, Jose A. R. ^{[1
]}

Costa-jussa, Marta R. ^{[1
]}

机构：

[1] Univ Politecn Cataluna, Dept Signal Theory & Commun, ES-08034 Barcelona, Spain

来源：

COMPUTATIONAL LINGUISTICS | 2006年 / 32卷 / 04期

关键词：

D O I：

10.1162/coli.2006.32.4.527

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred to as tuples, along with four specific feature functions. Translation performance, which happens to be in the state of the art, is demonstrated with Spanish-to-English and English-to-Spanish translations of the European Parliament Plenary Sessions (EPPS).

引用

页码：527 / 549

页数：23

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