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Improving on-line handwritten recognition in interactive machine translation

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Improving on-line handwritten recognition in interactive machine translation

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dc.contributor.author Alabau Gonzalvo, Vicente es_ES
dc.contributor.author Sanchis Navarro, José Alberto es_ES
dc.contributor.author Casacuberta Nolla, Francisco es_ES
dc.date.accessioned 2015-05-08T10:48:29Z
dc.date.available 2015-05-08T10:48:29Z
dc.date.issued 2014-03
dc.identifier.issn 0031-3203
dc.identifier.uri http://hdl.handle.net/10251/49938
dc.description.abstract [EN] On-line handwriting text recognition (HTR) could be used as a more natural way of interaction in many interactive applications. However, current HTR technology is far from developing error-free systems and, consequently, its use in many applications is limited. Despite this, there are many scenarios, as in the correction of the errors of fully-automatic systems using HTR in a post-editing step, in which the information from the specific task allows to constrain the search and therefore to improve the HTR accuracy. For example, in machine translation (MT), the on-line HTR system can also be used to correct translation errors. The HTR can take advantage of information from the translation problem such as the source sentence that is translated, the portion of the translated sentence that has been supervised by the human, or the translation error to be amended. Empirical experimentation suggests that this is a valuable information to improve the robustness of the on-line HTR system achieving remarkable results. es_ES
dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under Grant agreement no. 287576 (CasMaCat), from the EC (FEDER/FSE), and from the Spanish MEC/MICINN under the Active2Trans (TIN2012-31723) project. It is also supported by the Generalitat Valenciana under Grant ALMPR (Prometeo/2009/01) and GV/2010/067. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Pattern Recognition es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Interactive pattern recognition es_ES
dc.subject On-line handwritten text recognition es_ES
dc.subject Interactive machine translation es_ES
dc.subject Human interaction es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Improving on-line handwritten recognition in interactive machine translation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.patcog.2013.09.035
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/287576/EU/Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation/
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-31723/ES/INTERACCION ACTIVA PARA TRANSCRIPCION DE HABLA Y TRADUCCION/
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2010%2F067/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica 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 Alabau Gonzalvo, V.; Sanchis Navarro, JA.; Casacuberta Nolla, F. (2014). Improving on-line handwritten recognition in interactive machine translation. Pattern Recognition. 47(3):1217-1228. https://doi.org/10.1016/j.patcog.2013.09.035 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.patcog.2013.09.035 es_ES
dc.description.upvformatpinicio 1217 es_ES
dc.description.upvformatpfin 1228 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 47 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 266570
dc.contributor.funder European Commission
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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