Paper: A Syntax-Based Statistical Translation Model

ACL ID P01-1067
Title A Syntax-Based Statistical Translation Model
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2001

We present a syntax-based statistical translation model. Our model trans- forms a source-language parse tree into a target-language string by apply- ing stochastic operations at each node. These operations capture linguistic dif- ferences such as word order and case marking. Model parameters are esti- mated in polynomial time using an EM algorithm. The model produces word alignments that are better than those produced by IBM Model 5.