OVERLAPPING PHRASE-LEVEL TRANSLATION RULES IN AN SMT ENGINE
SVM HeaderParse 0.2
Alicia Tribble, et al.
In this paper we explore a technique for adding longer phrase translation pairs to a Statistical Machine Translation (SMT) system. New phrases are generated by merging existing phrase-level alignments that have overlapping words on both the source and target sides. The effect on translation quality is reported for an Arabic-English system in the news domain.