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Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques

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Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques

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Lagarda Arroyo, AL.; Ortiz Martínez, D.; Alabau, V.; Casacuberta Nolla, F. (2015). Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques. Computer Speech and Language. 32(1):109-134. doi:10.1016/j.csl.2014.10.004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63702

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Title: Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Globalization has dramatically increased the need of translating information from one language to another. Frequently, such translation needs should be satisfied under very tight time constraints. Machine translation ...[+]
Subjects: Machine translation , Statistical machine translation , Interactive machine translation , Automatic post-editing , Online learning
Copyrigths: Reserva de todos los derechos
Source:
Computer Speech and Language. (issn: 0885-2308 )
DOI: 10.1016/j.csl.2014.10.004
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.csl.2014.10.004
Project ID: info:eu-repo/grantAgreement/EC/FP7/287576
Thanks:
Work partially supported by the European Union 7th Framework Programme (FP7/2007-2013) under the CasMaCat Project (Grant Agreement No. 287576), by Spanish MICINN under Grant TIN2012-31723, and by the Generalitat Valenciana ...[+]
Type: Artículo

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