N-gram-based Machine Translation | Zendy

José Bernardo Mariño Acebal | Zendy; Rafael E. Banchs | Zendy; Josep Crego | Zendy; Adrià de Gispert | Zendy; Patrik Lambert | Zendy; José A. R. Fonollosa | Zendy; Marta R. Costajussà | Zendy

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N-gram-based Machine Translation

Author(s) -

José Bernardo Mariño Acebal,

Rafael E. Banchs,

Josep Crego,

Adrià de Gispert,

Patrik Lambert,

José A. R. Fonollosa,

Marta R. Costajussà

Publication year - 2006

Publication title -

computational linguistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.314

H-Index - 98

eISSN - 1530-9312

pISSN - 0891-2017

DOI - 10.1162/coli.2006.32.4.527

Subject(s) - machine translation , computer science , n gram , natural language processing , translation (biology) , artificial intelligence , tuple , feature (linguistics) , parliament , bleu , machine translation software usability , example based machine translation , linguistics , language model , mathematics , discrete mathematics , biochemistry , chemistry , philosophy , messenger rna , gene , politics , political science , law

This article describes in detail an n-gram approach to statistical machine translation. This approach consists of a log-linear combination of a translation model based on n-grams of bilingual units, which are referred to as tuples, along with four specific feature functions. Translation\udperformance, which happens to be in the state of the art, is demonstrated with Spanish-to-English and English-to-Spanish translations of the European Parliament Plenary Sessions (EPPS).Peer Reviewe

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