Paper: A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation

ACL ID P07-1091
Title A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Inspired by previous preprocessing ap- proaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT. Given a source sentence and its parse tree, our method generates, by tree operations, an n-best list of re- ordered inputs, which are then fed to stan- dard phrase-based decoder to produce the optimal translation.