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Applied linguistics: Optimization of semantic relations by data aggregation techniques

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  • Isabelle Warnesson

Abstract

After a short methodological presentation of similarity aggregation in automatic classification, we will present an application to computational linguistics. We will try to explain, from an existing dictionary of synonyms, how we have (a) defined what was, in our opinion, the meaning of the synonymous relation we wanted to reveal in a new optimized dictionary, (b) transformed the existing dictionary into a sequence of matrices of synonymy, (c) checked with an adapted algorithm (similarity aggregation technique) if the links appearing in the existing dictionary corresponded to our synonymy definition, (d) tried to improve the synonymous relation, in order to propose more accurate data facilitating the management of a new dictionary and providing a classification of synonyms according to a semic separate valuation.

Suggested Citation

  • Isabelle Warnesson, 1985. "Applied linguistics: Optimization of semantic relations by data aggregation techniques," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 1(2), pages 121-141.
    • Handle: RePEc:wly:apsmda:v:1:y:1985:i:2:p:121-141
    DOI: 10.1002/asm.3150010205
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