skip to main content
10.1145/1277741.1277861acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
Article

Management of keyword variation with frequency based generation of word forms in IR

Published:23 July 2007Publication History

ABSTRACT

This paper presents a new management method for morphological variation of keywords. The method is called FCG, Frequent Case Generation. It is based on the skewed distributions of word forms in natural languages and is suitable for languages that have either fair amount of morphological variation or are morphologically very rich. The proposed method has been evaluated so far with four languages, Finnish, Swedish, German and Russian, which show varying degrees of morphological complexity.

References

  1. Baayen, R. H. Statistical Models for Word Frequency Distribution. Computers and the Humanities 26 (1993): 347--363.Google ScholarGoogle ScholarCross RefCross Ref
  2. Baayen, R. H. Word Frequency Distributions. Kluwer Academic Publishers, Dordrecht Boston London, 2001.Google ScholarGoogle Scholar
  3. Karlsson, F. Frequency Considerations in Morphology. Zeitsschrift fr Phonetik, Sprachwissenschaft und Kommunikationsforschung 39 (1986): 19--28.Google ScholarGoogle Scholar
  4. Karlsson, F. Defectivity. In: Booij G. et al. (eds.): Morphology. An International Handbook on Inflection and Word-Formation. Volume 1. Walter de Gruyter, Berlin, 2000, 647--654.Google ScholarGoogle Scholar
  5. Kettunen, K. and Airio, E. Is a morphologically complex language really that complex in full-text retrieval? In T. Salakoski et al. (Eds.): Advances in Natural Language Processing, LNAI 4139. Springer-Verlag Berlin Heidelberg, 2006, 411--422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Kettunen, K., Airio, E. and Järvelin, K. Restricted Inflectional Form Generation in Management of Morphological Keyword Variation. Information Retrieval (to appear). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kosti , A., Markovi , T. and Baucal, A. Inflectional Morphology and Word Meaning: Orthogonal or Co-implicative Cognitive Domains. In: Baayen, R.H. and Schreuder R. (eds.): Morphological Structure in Language Processing. Trends in Linguistics, Studies and Monographs 151. Mouton de Gruyter, Berlin, 2003, 1--43.Google ScholarGoogle Scholar
  8. Perebeynoss, V. and Khidekel, S. Frequency of Language Units as a Reflection of Their Systemic and Functional Properties. Journal of Quantitative Linguistics 11 (2004): 3--25.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Management of keyword variation with frequency based generation of word forms in IR

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
      July 2007
      946 pages
      ISBN:9781595935977
      DOI:10.1145/1277741

      Copyright © 2007 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 July 2007

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      Overall Acceptance Rate792of3,983submissions,20%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader