JOURNAL ARTICLE

Syntactic reordering for English-Arabic phrase-based machine translation

Abstract

We investigate syntactic reordering within an English to Arabic translation task.We extend a pre-translation syntactic reordering approach developed on a close language pair (English-Danish) to the distant language pair, English-Arabic.We achieve significant improvements in translation quality over related approaches, measured by manual as well as automatic evaluations.These results prove the viability of this approach for distant languages.

Keywords:
Computer science Machine translation Natural language processing Arabic Phrase Artificial intelligence Task (project management) Example-based machine translation Translation (biology) Rule-based machine translation Evaluation of machine translation Machine translation software usability Linguistics

Metrics

34
Cited By
6.48
FWCI (Field Weighted Citation Impact)
34
Refs
0.98
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
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