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Machine Translation: New Approaches to Parameter Optimization and Alignment

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Gonzalez Rubio, J. (2008). Machine Translation: New Approaches to Parameter Optimization and Alignment. http://hdl.handle.net/10251/12175.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/12175

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Title: Machine Translation: New Approaches to Parameter Optimization and Alignment
Author:
Director(s): Casacuberta Nolla, Francisco
UPV Unit: Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat
Read date / Event date:
2008-09
Issued date:
Abstract:
The aim of this research is to improve the translation process. On the one hand, the standard loglinear model parameter optimization process, the MERT algorithm, presents high computational costs, so, as an alternative we ...[+]
Subjects: Machine translation , Alignment , Svm
Copyrigths: Reserva de todos los derechos
degree: Máster Universitario en Inteligencia Artificial, Reconocimiento de Formas e Imagen Digital-Màster Universitari en Intel·Ligència Artificial, Reconeixement de Formes i Imatge Digital
Type: Tesis de máster

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