METIS-II: Machine Translation for Low Resource Languages

Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006)

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.