Paper: Constituent Boundary Parsing For Example-Based Machine Translation

ACL ID C94-1015
Title Constituent Boundary Parsing For Example-Based Machine Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

This paper i)roposes an effective parsing nicthod for examlile-based machine transhltiOl~. In this method, an input string is parsed by the tOl)-down aplflication of linguistic patterns consisting ol variables and constituent boundaries. A constituent boundary is expressed by either a functional word or a l)art-of..speech bigram. When structural ambiguity occurs, the most plausible structure is selected usin b, tile total values of distance calculations in tile oxanll)le-basod Iraillework. Transfer-Driven Machine Translation (TDMT) achieves efficient aitd robust translation within the example-based framework by adopting this parsing method. Using bi- directional translation between Japanese and Vnglish> tile effectiveness of this method in TDMT is nlso shown.