Supervised Learning for Semantic Classification of Spanish Collocations

  • Alexander Gelbukh
  • Olga Kolesnikova
Conference paper

DOI: 10.1007/978-3-642-15992-3_38

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6256)
Cite this paper as:
Gelbukh A., Kolesnikova O. (2010) Supervised Learning for Semantic Classification of Spanish Collocations. In: Martínez-Trinidad J.F., Carrasco-Ochoa J.A., Kittler J. (eds) Advances in Pattern Recognition. MCPR 2010. Lecture Notes in Computer Science, vol 6256. Springer, Berlin, Heidelberg

Abstract

The meaning of word combination such as give a book or lend money can be obtained by mechanically combining the meaning of the two constituting words: to give is to hand over, a book is a pack of pages, then to give a book is to hand over a pack of pages. However, the meaning of such word combinations as give a lecture or lend support is not obtained in this way: to give a lecture is not to hand it over. Such word pairs are called collocations. While their meaning cannot be derived automatically from the meaning of their constituents, we show how to predict the meaning of a previously unseen word combination using semantic regularities we observe in a training set of collocations whose meaning has been specified manually.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alexander Gelbukh
    • 1
  • Olga Kolesnikova
    • 1
  1. 1.Center for Computing ResearchNational Polytechnic InstituteMexico CityMexico

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