GRASP: Grammar- and Syntax-based Pattern-Finder in CALL

نویسندگان

  • Chung-Chi Huang
  • Mei-hua Chen
  • Shih-Ting Huang
  • Hsien-Chin Liou
  • Jason S. Chang
چکیده

We introduce a method for learning to describe the attendant contexts of a given query for language learning. In our approach, we display phraseological information in the form of a summary of general patterns as well as lexical bundles anchored at the query. The method involves syntactical analyses and inverted file construction. At run-time, grammatical constructions and their lexical instantiations characterizing the usage of the given query are generated and displayed, aimed at improving learners’ deep vocabulary knowledge. We present a prototype system, GRASP, that applies the proposed method for enhanced collocation learning. Preliminary experiments show that language learners benefit more from GRASP than conventional dictionary lookup. In addition, the information produced by GRASP is potentially useful information for automatic or manual editing process.

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تاریخ انتشار 2011