Natural language processing for digital libraries

International Journal on Digital Libraries

, Volume 3, Issue 2, pp 115-130

Automatic recognition of multi-word terms:. the C-value/NC-value method

  • Katerina FrantziAffiliated withCentre for Computational Linguistics, UMIST, P.O. Box 88, Manchester, M60 1QD, UK; E-mail: katerina,effie@ccl.umist.ac.uk
  • , Sophia AnaniadouAffiliated withCentre for Computational Linguistics, UMIST, P.O. Box 88, Manchester, M60 1QD, UK; E-mail: katerina,effie@ccl.umist.ac.uk
  • , Hideki MimaAffiliated withDept. of Information Science, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113, Japan; E-mail: mima@is.s.u-tokyo.ac.jp

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Abstract.

Technical terms (henceforth called terms ), are important elements for digital libraries. In this paper we present a domain-independent method for the automatic extraction of multi-word terms, from machine-readable special language corpora. The method, (C-value/NC-value ), combines linguistic and statistical information. The first part, C-value, enhances the common statistical measure of frequency of occurrence for term extraction, making it sensitive to a particular type of multi-word terms, the nested terms. The second part, NC-value, gives: 1) a method for the extraction of term context words (words that tend to appear with terms); 2) the incorporation of information from term context words to the extraction of terms.

Key words: Terms – Automatic extraction – Domain independence – Automatic Term Recognition (ATR) – Linguistic and statistical information