Syntactic reordering for English-Arabic phrase-based machine translation
Autor: | Jakob Elming, Nizar Habash |
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Rok vydání: | 2009 |
Předmět: |
Phrase
Machine translation Computer science business.industry Speech recognition Transfer-based machine translation computer.software_genre Machine translation software usability Task (project management) Example-based machine translation Rule-based machine translation ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computer-assisted translation Artificial intelligence business computer Natural language processing |
Zdroj: | SEMITIC@EACL New York University Scholars |
DOI: | 10.3115/1621774.1621786 |
Popis: | 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. |
Databáze: | OpenAIRE |
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