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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 |