Paper: Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction

ACL ID P07-1020
Title Statistical Machine Translation through Global Lexical Selection and Sentence Reconstruction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Machine translation of a source language sentence involves selecting appropriate tar- get language words and ordering the se- lected words to form a well-formed tar- get language sentence. Most of the pre- vious work on statistical machine transla- tion relies on (local) associations of target words/phrases with source words/phrases for lexical selection. In contrast, in this pa- per, we present a novel approach to lexical selection where the target words are associ- ated with the entire source sentence (global) without the need to compute local associa- tions. Further, we present a technique for reconstructing the target language sentence from the selected words. We compare the re- sults of this approach against those obtained from a finite-state based statistical machine translation syst...