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Using noisy bilingual data for statistical machine translation

10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003 (2003) 175-178
DOI: 10.3115/1067737.1067777
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Abstract

SMT systems rely on sufficient amount of parallel corpora to train the translation model. This paper investigates possibilities to use word-to-word and phrase-to-phrase translations extracted not only from clean parallel corpora but also from noisy comparable corpora. Translation results for a Chinese to English translation task are given.

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APA

Vogel, S. (2003). Using noisy bilingual data for statistical machine translation. In 10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003 (pp. 175–178). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1067737.1067777

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