Year: 2002
Type: conference-paper
Abstract: There has been much interest in using phrasal movement to improve statistical machine translation.We explore how well phrases cohere across two languages, specifically English and French, and examine the particular conditions under 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 determine which one has the best properties with respect to cohesion.
Author: Heidi J. Fox
Institution: Brown University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2160382364