Matching phrases for arabic-to-english example-based translation system

Kfir Bar; Yaacov Choueka; Nachum Dershowitz

doi:10.1007/978-3-642-45327-4_4

Matching phrases for arabic-to-english example-based translation system

Kfir Bar
, Yaacov Choueka
, Nachum Dershowitz

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

An implementation of a non-structural example-based translation system that translates sentences from Arabic to English, using a bilingual parallel corpus, is described. Each new input sentence is fragmented into phrases, and those phrases are matched to example patterns, using various levels of morphological data. We study the effect of forcing the system to match only fragments that do not break base phrases in the middle, and the results for small corpora are encouraging.

Original language	English
Pages (from-to)	54-63
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8003
DOIs	https://doi.org/10.1007/978-3-642-45327-4_4
State	Published - 2014

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014

Keywords

Arabic
EBMT
Example-based machine translation

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10.1007/978-3-642-45327-4_4

Cite this

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Matching phrases for arabic-to-english example-based translation system

Abstract

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Keywords

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