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Automatic Retrieval of Parallel Collocations

  • Valeriy I. Novitskiy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)

Abstract

An approach to automatic retrieval of parallel (two-language) collocations is described. The method is based on comparison of syntactic trees of two parallel sentences. The key feature of the method is a sequence of filters for getting more precise results.

Keywords

NLP parallel collocations automatic information extraction text mining 

References

  1. 1.
    Bolshakov, I.A.: Computational Linguistics: Models, Resources, Applications. In: Bolshakov, I.A., Gelbukh, A.F. (eds.) IPN - UNAM - Fondo de Cultura Economica (2004)Google Scholar
  2. 2.
    Church, K.W.: Word association norms, mutual information, and lexicography. Computational Linguistics 16(1), 22–29 (1990)Google Scholar
  3. 3.
    Dunning, T.: Accurate methods for the statistics of surprise and coincidence. Computational Linguistics 19(1), 61–74 (1993)Google Scholar
  4. 4.
    Smadja, F.A.: Retrieving collocations from text: Xtract. Computational Linguistics 19(1), 143–177 (1993)Google Scholar
  5. 5.
    Bouma, G.: Collocation extraction beyond the independence assumption. In: Proceedings of the ACL 2010 Conference Short Papers. ACLShort 2010, pp. 109–114. Association for Computational Linguistics, Stroudsburg, PA, USA (2010)Google Scholar
  6. 6.
    Evert, S.: The Statistics of Word Cooccurences Word Pairs and Collocations. Ph.D. thesis / Universität Stuttgart. Institut für Maschinelle Sprachverarbeitung (IMS) (2004)Google Scholar
  7. 7.
    Burkard, R.: Assignment Problems. SIAM, Society for Industrial and Applied Mathematics, Philadelphia (2009)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Valeriy I. Novitskiy
    • 1
  1. 1.The Moscow Institute of Physics and TechnologyMoscowRussia

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