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dc.contributor.author | Alkhoury, Ihab | es_ES |
dc.contributor.author | Giménez Pastor, Adrián | es_ES |
dc.contributor.author | Andrés Ferrer, Jesús | es_ES |
dc.contributor.author | Juan Císcar, Alfonso | es_ES |
dc.contributor.author | Sánchez Peiró, Joan Andreu | es_ES |
dc.date.accessioned | 2015-09-08T12:16:14Z | |
dc.date.available | 2015-09-08T12:16:14Z | |
dc.date.issued | 2013-08-23 | |
dc.identifier.uri | http://hdl.handle.net/10251/54399 | |
dc.description.abstract | The NIST Open Handwriting Recognition and Translation Evaluation 2013 (NIST OpenHaRT’13) is a performance evaluation assessing technologies that transcribe and translate text in document images. This evaluation is focused on recognizing Arabic text images and translating them into English. A Handwriting Recognition and Translation system typically consists of a combination of two systems: a Text Recognition system and a Machine Translation system. In this paper, we present the UPV participation in the NIST OpenHaRT 2013 evaluation. For the Text Recognition system we used the TL toolkit for training and recognition. For the Machine Translation system we used the Moses toolkit for training and decoding. Results in this evaluation are challenging and they significantly outperform our previous results in the OpenHaRT 2010 evaluation. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | US National Institute of Standards and Technology (NIST) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | NIST OpenHaRT | es_ES |
dc.subject | Arabic HTR | es_ES |
dc.subject | Bernoulli HMM | es_ES |
dc.subject | Sliding Window | es_ES |
dc.subject | Repositioning | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | The UPV Handwriting Recognition and Translation System for OpenHaRT 2013 | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-14511/ES/Traduccion De Textos Y Transcripcion De Voz Interactivas/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/287755/EU/Transcription and Translation of Video Lectures/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Área de Sistemas de Información y Comunicaciones - Àrea de Sistemes d'Informació i Comunicacions | es_ES |
dc.description.bibliographicCitation | Alkhoury, I.; Giménez Pastor, A.; Andrés Ferrer, J.; Juan Císcar, A.; Sánchez Peiró, JA. (2013). The UPV Handwriting Recognition and Translation System for OpenHaRT 2013. US National Institute of Standards and Technology (NIST). http://hdl.handle.net/10251/54399 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 1st NIST Open Handwriting Recognition and Translation Evaluation (OpenHaRT 2013) | es_ES |
dc.relation.conferencedate | 2013-08-23 | es_ES |
dc.relation.conferenceplace | Washington, DC, USA | es_ES |
dc.relation.publisherversion | http://www.nist.gov/itl/iad/mig/hart2013_wrkshp.cfm | es_ES |
dc.relation.senia | 269111 | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Agencia Española de Cooperación Internacional para el Desarrollo | es_ES |