Paper: Phrasal Cohesion And Statistical Machine Translation

ACL ID W02-1039
Title Phrasal Cohesion And Statistical Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

There has been much interest in us- ing phrasal movement to improve statis- tical machine translation. We explore how well phrases cohere across two lan- guages, specifically English and French, and examine the particular conditions un- der which they do not. We demonstrate that while there are cases where coherence is poor, there are many regularities which can be exploited by a statistical machine translation system. We also compare three variant syntactic representations to deter- mine which one has the best properties with respect to cohesion.