Esta web utiliza cookies propias y de terceros que nos permiten optimizar tu experiencia en el sitio web, evaluar su rendimiento, generar estadísticas de uso y mejorar y añadir nuevas funcionalidades. Mediante el análisis de tus hábitos de navegación podemos mostrar contenidos más relevantes y medir las interacciones con la web.
Puede obtener más información aquí.

Avanzado
Artigos
Portada

IMPROVING REORDERING AND MODELING IN STATISTICAL MACHINE TRA IBD

MARTA RUIZ COSTA JUSSà
VDM VERLAG
02 / 2010
9783639235685
Inglés

Sinopse

Nowadays, translation may be the bottleneck of the pretended information globalisation. While surfing the Internet, for instance, sometimes we come across languages and characters we don?t understand. Statistical machine translation (SMT) constitutes a research sub-area of machine translation (MT) that has recently gained much popularity. In fact, this technology has experienced real growth motivated by the development of computer resources needed to implement translation algorithms based on statistical methods. This PhD thesis focuses on the SMT framework and primarly on the definition and experimentation of novel algorithms for building a correct structural reordering for translated words. Moreover, challenging techniques regarding language modeling and system combination are successfully applied to state-of-the-art SMT systems. This dissertation should shed some light on the SMT approach and on the word ordering challenges and should be specially useful to natural language processing researchers having non or some expertise in machine translation.

PVP
97,56€