MaTrEx

Abstract

In this paper, we give a description of the machine translation system developed at DCU that was used for our participation in the evaluation campaign of the Third Workshop on Statistical Machine Translation at ACL 2008.We describe the modular design of our datadriven MT system with particular focus on the components used in this participation. We also describe some of the significant modules which were unused in this task.We participated in the EuroParl task for the following translation directions: SpanishEnglish and French-English, in which we employed our hybrid EBMT-SMT architecture to translate. We also participated in the CzechEnglish News and News Commentary tasks which represented a previously untested language pair for our system. We report results on the provided development and test sets.

Free/Open-Source Resources in the Apertium Platform for Machine Translation Research and Development

“…8 have tested the integration of sub-sentential translation units (bilingual chunks) into the Apertium MT engine. 9 In their approach the bilingual chunks were automatically obtained from parallel corpora by using the marker-based chunkers and sub-sentential aligners used in the example-based MT system MTE (Gough and Way, 2004;Tinsley et al, 2008). 10 Note, however, that bilingual chunks obtained in a different way could have been used, for instance the chunks 11 extraction algorithm (Zens et al, 2002) used by state-of-the-art statistical MT systems such as Moses.…”