Apertium: a free/open-source platform for rule-based machine translation

被引：131

作者：

Forcada, Mikel L. ^{[1
]}

Ginesti-Rosell, Mireia ^{[1
]}

Nordfalk, Jacob ^{[2
]}

O'Regan, Jim ^{[3
]}

Ortiz-Rojas, Sergio ^{[4
]}

Antonio Perez-Ortiz, Juan ^{[1
]}

Sanchez-Martinez, Felipe ^{[1
]}

Ramirez-Sanchez, Gema ^{[4
]}

Tyers, Francis M. ^{[1
]}

机构：

[1] Univ Alacant, Dept Llenguatges & Sistemes Informat, Grp Transducens, Alacant, Spain

[2] Univ Copenhagen, Coll Engn, Copenhagen, Denmark

[3] Eolaistriu Technol, Thurles, Ireland

[4] Prompsit Language Engn, Elche, Spain

来源：

MACHINE TRANSLATION | 2011年 / 25卷 / 02期

关键词：

Free/open-source machine translation; Rule-based machine translation; Apertium; Shallow transfer; Finite-state transducers;

D O I：

10.1007/s10590-011-9090-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Apertium is a free/open-source platform for rule-based machine translation. It is being widely used to build machine translation systems for a variety of language pairs, especially in those cases (mainly with related-language pairs) where shallow transfer suffices to produce good quality translations, although it has also proven useful in assimilation scenarios with more distant pairs involved. This article summarises the Apertium platform: the translation engine, the encoding of linguistic data, and the tools developed around the platform. The present limitations of the platform and the challenges posed for the coming years are also discussed. Finally, evaluation results for some of the most active language pairs are presented. An appendix describes Apertium as a free/open-source project.

引用

页码：127 / 144

页数：18

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