The UA-prompsit hybrid machine translation system for the 2014 workshop on statistical machine translation

Abstract

This paper describes the system jointly developed by members of the Departament de Llenguatges i Sistemes Informatics at Universitat d Alacant and the Prompsit Language Engineering company for the shared translation task of the 2014 Workshop on Statistical Machine Translation. We present a phrase-based statistical machine translation system whose phrase table is enriched with information obtained from dictionaries and shallowtransfer rules like those used in rule-based machine translation. The novelty of our approach lies in the fact that the transfer rules used were not written by humans, but automatically inferred from a parallel corpus.