Competitive Grouping in Integrated Phrase Segmentation and Alignment Model

نویسندگان

  • Ying Zhang
  • Stephan Vogel
چکیده

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 precalculated 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.

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تاریخ انتشار 2005