Computational Analysis of Move Structures in Academic Abstracts

نویسندگان

  • Jien-Chen Wu
  • Yu-Chia Chang
  • Hsien-Chin Liou
  • Jason S. Chang
چکیده

This paper introduces a method for computational analysis of move structures in abstracts of research articles. In our approach, sentences in a given abstract are analyzed and labeled with a specific move in light of various rhetorical functions. The method involves automatically gathering a large number of abstracts from the Web and building a language model of abstract moves. We also present a prototype concordancer, CARE, which exploits the move-tagged abstracts for digital learning. This system provides a promising approach to Webbased computer-assisted academic writing.

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تاریخ انتشار 2006