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Active learning for interactive machine translation

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Active learning for interactive machine translation

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dc.contributor.author González Rubio, Jesús es_ES
dc.contributor.author Ortiz Martínez, Daniel es_ES
dc.contributor.author Casacuberta Nolla, Francisco es_ES
dc.date.accessioned 2012-07-02T12:09:11Z
dc.date.available 2012-07-02T12:09:11Z
dc.date.issued 2012
dc.identifier.isbn 978-1-937284-19-0
dc.identifier.uri http://hdl.handle.net/10251/16395
dc.description.abstract Translation needs have greatly increased during the last years. In many situations, text to be translated constitutes an unbounded stream of data that grows continually with time. An effective approach to translate text documents is to follow an interactive-predictive paradigm in which both the system is guided by the user and the user is assisted by the system to generate error-free translations. Unfortunately, when processing such unbounded data streams even this approach requires an overwhelming amount of manpower. Is in this scenario where the use of active learning techniques is compelling. In this work, we propose different active learning techniques for interactive machine translation. Results show that for a given translation quality the use of active learning allows us to greatly reduce the human effort required to translate the sentences in the stream. es_ES
dc.format.extent 10 es_ES
dc.language Inglés es_ES
dc.publisher Association for Computational Linguistics es_ES
dc.relation The research leading to these results has re- ceived funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 287576. Work also supported by the EC (FEDER/FSE) and the Spanish MEC under the MIPRCV Consolider Ingenio 2010 pro- gram (CSD2007-00018) and iTrans2 (TIN2009- 14511) project and by the Generalitat Valenciana under grant ALMPR (Prometeo/2009/01) es_ES
dc.relation.ispartof Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Active learning for interactive machine translation es_ES
dc.type Capítulo de libro es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287576 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation González Rubio, J.; Ortiz Martínez, D.; Casacuberta Nolla, F. (2012). Active learning for interactive machine translation. En Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics. 245-254. http://hdl.handle.net/10251/16395 es_ES
dc.relation.conferencename European Chapter of the Association for Computational Linguistics es_ES
dc.relation.conferencedate 2012 es_ES
dc.relation.conferenceplace Avignon, France es_ES
dc.relation.publisherversion http://www.aclweb.org/anthology/E12-1025 es_ES
dc.description.upvformatpinicio 245
dc.description.upvformatpfin 254
dc.type.version info:eu repo/semantics/publishedVersion es_ES


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