Establishing sentential structure via realignments from small parallel corpora
George Tambouratzis, Vassiliki Pouli · 2015
The present article reports on efforts to improve the translation accuracy of a corpusbased hybrid MT system developed using the PRESEMT methodology.This methodology operates on a phrasal basis, where phrases are linguistically-motivated but are automatically determined via a dedicated module.Here, emphasis is placed on improving the structure of each translated sentence, by replacing the Example-Based MT approach originally used in PRESEMT with a sub-sentential approach.Results indicate that an improved accuracy can be achieved, as measured by objective metrics.