N-gram-based machine translation

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/117432

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Mariño Acebal, José Bernardo
dc.contributor.author	Banchs, Rafael E.
dc.contributor.author	Crego, Josep Maria
dc.contributor.author	Gispert Ramis, Adrià de
dc.contributor.author	Lambert, Patrik
dc.contributor.author	Rodríguez Fonollosa, José Adrián
dc.contributor.author	Ruiz Costa-Jussà, Marta
dc.date	2006-12-01
dc.identifier.citation	Mariño, J.B., Banchs, R., Crego, J., de Gispert, A., Lambert, P., Fonollosa, José A. R., Ruiz, M. N-gram-based machine translation. "Computational linguistics", 1 Desembre 2006, vol. 32, núm. 4, p. 527-549.
dc.identifier.citation	0891-2017
dc.identifier.citation	10.1162/coli.2006.32.4.527
dc.identifier.uri	http://hdl.handle.net/2117/117432
dc.language.iso	eng
dc.relation	http://www.mitpressjournals.org/doi/pdf/10.1162/coli.2006.32.4.527
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject	Machine translating
dc.subject	N-gram
dc.subject	Machine translation
dc.subject	Traducció automàtica
dc.title	N-gram-based machine translation
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	This article describes in detail an n-gram approach to statistical machine translation. This ap- proach 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 performance, 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).
dc.description.abstract	Peer Reviewed

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