Paper: Source-Side Classifier Preordering for Machine Translation

ACL ID D13-1049
Title Source-Side Classifier Preordering for Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

We present a simple and novel classifier-based preordering approach. Unlike existing pre- ordering models, we train feature-rich dis- criminative classifiers that directly predict the target-side word order. Our approach com- bines the strengths of lexical reordering and syntactic preordering models by performing long-distance reorderings using the structure of the parse tree, while utilizing a discrimina- tive model with a rich set of features, includ- ing lexical features. We present extensive ex- periments on 22 language pairs, including pre- ordering into English from 7 other languages. We obtain improvements of up to 1.4 BLEU on language pairs in the WMT 2010 shared task. For languages from different families the improvements often exceed 2 BLEU. Many of these gains are also significa...