Integrating Morphology With Multi-Word Expression Processing In Turkish

نویسندگان

  • Kemal Oflazer
  • Ozlem Cetinoglu
  • Bilge Say
چکیده

This paper describes a multi-word expression processor for preprocessing Turkish text for various language engineering applications. In addition to the fairly standard set of lexicalized collocations and multi-word expressions such as named-entities, Turkish uses a quite wide range of semi-lexicalized and non-lexicalized collocations. After an overview of relevant aspects of Turkish, we present a description of the multi-word expressions we handle. We then summarize the computational setting in which we employ a series of components for tokenization, morphological analysis, and multi-word expression extraction. We finally present results from runs over a large corpus and a small gold-standard corpus.

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تاریخ انتشار 2004