Competitive grouping in integrated phrase segmentation and alignment model

Authors:
Ying Zhang;Stephan Vogel
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Year:
2005

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Abstract

This article describes the competitive grouping algorithm at the core of our Integrated Segmentation and Alignment (ISA) model. ISA extracts phrase pairs from a bilingual corpus without requiring the pre-calculated word alignment as many other phrase alignment models do. Experiments conducted within the WPT-05 shared task on statistical machine translation demonstrate the simplicity and effectiveness of this approach.