Entrenamiento y comparativa de motores de TAE especializados en la localización de aplicaciones móviles

María Esperanza Fernández Ruíz, Pilar Sánchez-Gijón

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Resum

The quality of statistical machine translation (SMT) is closely related to the characteristics of the corpus used, such as its volume and its homogeneity. This article describes the training process of three statistical machine translation engines with different collections of texts combi- ned, all specialized in the translation of mobile apps. The three engines will be compared in order to determine which composition of corpus is the best for training engines specialized in app localisation, and to check how the trained engines deal with some problematic aspects related to this type of translation.

Idioma originalSpanish
Pàgines (de-a)162-183
Nombre de pàgines22
RevistaRevista Tradumatica
Número17
DOIs
Estat de la publicacióPublicada - 1 de gen. 2020

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