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The core of the system implements a standard phrase-based statistical machine translation architecture, but it is extended by incorporating a local discriminative phrase selection model to address the semantic ambiguity of Arabic. Local classifiers are trained using linguistic information and context to translate a phrase, and this significantly increases the accuracy in phrase selection with respect to the most frequent translation traditionally considered. These classifiers are integrated into the translation system so that the global task gets benefits from the discriminative learning. As a result, we obtain significant improvements in the full translation task at the lexical, syntactic, and semantic levels as measured by an heterogeneous set of automatic evaluation metrics.<\/jats:p>","DOI":"10.1145\/1644879.1644882","type":"journal-article","created":{"date-parts":[[2010,1,5]],"date-time":"2010-01-05T15:05:08Z","timestamp":1262703908000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Discriminative Phrase-Based Models for Arabic Machine Translation"],"prefix":"10.1145","volume":"8","author":[{"given":"Cristina","family":"Espa\u00f1a-Bonet","sequence":"first","affiliation":[{"name":"TALP, Universitat Polit\u00e8cnica de Catalunya"}]},{"given":"Jes\u00fas","family":"Gim\u00e9nez","sequence":"additional","affiliation":[{"name":"TALP, Universitat Polit\u00e8cnica de Catalunya"}]},{"given":"Llu\u00eds","family":"M\u00e0rquez","sequence":"additional","affiliation":[{"name":"TALP, Universitat Polit\u00e8cnica de Catalunya"}]}],"member":"320","published-online":{"date-parts":[[2009,12]]},"reference":[{"volume-title":"Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL\u201907)","author":"Bangalore S.","key":"e_1_2_1_1_1"},{"volume-title":"Neural Networks for Pattern Recognition","author":"Bishop C. 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