Syntax-driven machine translation as a model of ESL revision

  • Authors:
  • Huichao Xue;Rebecca Hwa

  • Affiliations:
  • University of Pittsburgh;University of Pittsburgh

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
  • Year:
  • 2010

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Abstract

In this work, we model the writing revision process of English as a Second Language (ESL) students with syntax-driven machine translation methods. We compare two approaches: tree-to-string transformations (Yamada and Knight, 2001) and tree-to-tree transformations (Smith and Eisner, 2006). Results suggest that while the tree-to-tree model provides a greater coverage, the tree-to-string approach offers a more plausible model of ESL learners' revision writing process.