Using the Text Corpus to Create a Comprehensive List of Phrasal Verbs

نویسندگان

  • Heiki-Jaan Kaalep
  • Kadri Muischnek
چکیده

The paper describes extraction of Estonian multi-word verbs from text corpora, using a languageand task-specific software tool SENVA, which is based on a statistical language-independent software tool SENTA (Dias et al, 2000). The outcome is a comprehensive list of 16,000 phrasal verbs. We describe the extraction tool, manual post-editing principles, and evaluate the outcome in terms of precision and recall, comparing the results with man-made electronic dictionaries, and with the results of a manual extraction experiment of a sub-set of the MWV-s.

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تاریخ انتشار 2002