SUMMARY : Session P3-W

 

Title METIS-II: Machine Translation for Low Resource Languages
Authors V. Vandeghinste, I. Schuurman, M. Carl, S. Markantonatou, T. Badia
Abstract In this paper we describe a machine translation prototype in which we use only minimal resources for both the source and the target language. A shallow source language analysis, combined with a translation dictionary and a mapping system of source language phenomena into the target language and a target language corpus for generation are all the resources needed in the described system. Several approaches are presented.
Keywords Machine TranslationLow ResourcesHybrid Machine Translation
Full paper METIS-II: Machine Translation for Low Resource Languages