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Relational analysis and dictionaries

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  • C. Bedecarrax
  • I. Warnesson

Abstract

The aim of the paper is to propose adequate models for the description of and appropriate solutions to dictionary optimization. A dictionary dedicated to human users is (as with any human artefact) full of errors and inconsistencies which cannot be handled by a computer as an end user. Thus, it is necessary to check and optimize the contents. By using ‘pairwise optimal clustering’ approaches, similarity aggregation and the new quadri‐decomposition methods, we will show how they are adapted to handle linguistic data in different configurations (a dictionary of synonyms and a bilingual dictionary). On these real‐life applications (i.e. our processed dictionary of synonyms corresponds to more than 2.5 billion matrix cells) we will describe how different aspects of such a method can be a good tool for designing new dictionaries for both applications.

Suggested Citation

  • C. Bedecarrax & I. Warnesson, 1989. "Relational analysis and dictionaries," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 5(2), pages 131-151, June.
    • Handle: RePEc:wly:apsmda:v:5:y:1989:i:2:p:131-151
    DOI: 10.1002/asm.3150050204
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