Paper: Translating With Non-Contiguous Phrases

ACL ID H05-1095
Title Translating With Non-Contiguous Phrases
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005

This paper presents a phrase-based statis- tical machine translation method, based on non-contiguous phrases, i.e. phrases with gaps. A method for producing such phrases from a word-aligned corpora is proposed. A statistical translation model is also presented that deals such phrases, as well as a training method based on the maximization of translation accuracy, as measured with the NIST evaluation met- ric. Translations are produced by means of a beam-search decoder. Experimental re- sults are presented, that demonstrate how the proposed method allows to better gen- eralize from the training data.