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Finding Semantically Related Words in Large Corpora

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Book cover Text, Speech and Dialogue (TSD 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2166))

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Abstract

The paper deals with the linguistic problem of fully automatic grouping of semantically related words. We discuss the measures of semantic relatedness of basic word forms and describe the treatment of collocations. Next we present the procedure of hierarchical clustering of a very large number of semantically related words and give examples of the resulting partitioning of data in the form of dendrogram. Finally we show a form of the output presentation that facilitates the inspection of the resulting word clusters.

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Author information

Authors and Affiliations

  1. Faculty of Informatics, Masaryk University Brno, Botanická 68a, 602 00, Brno, Czech Republic

    Pavel Smrž & Pavel Rychlý

Authors
  1. Pavel Smrž
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  2. Pavel Rychlý
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, University of West Bohemia in Plzeň, Faculty of Applied Sciences, Univerzitní 22, 306-14, Plzeň, Czech Republic

    Václav Matoušek , Pavel Mautner , Roman Mouček  & Karel Taušer , ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Smrž, P., Rychlý, P. (2001). Finding Semantically Related Words in Large Corpora. In: Matoušek, V., Mautner, P., Mouček, R., Taušer, K. (eds) Text, Speech and Dialogue. TSD 2001. Lecture Notes in Computer Science(), vol 2166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44805-5_14

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  • DOI: https://doi.org/10.1007/3-540-44805-5_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42557-1

  • Online ISBN: 978-3-540-44805-1

  • eBook Packages: Springer Book Archive

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