Lexical access based on underspecified input

  • Authors:
  • Michael Zock;Didier Schwab

  • Affiliations:
  • LIF-CNRS, Équipe TALEP, Marseille Cedex;Groupe GETALP, Laboratoire d'Informatique de Grenoble, Grenoble Cedex

  • Venue:
  • COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
  • Year:
  • 2008

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Abstract

Words play a major role in language production, hence finding them is of vital importance, be it for speaking or writing. Words are stored in a dictionary, and the general belief holds, the bigger the better. Yet, to be truly useful the resource should contain not only many entries and a lot of information concerning each one of them, but also adequate means to reveal the stored information. Information access depends crucially on the organization of the data (words) and on the navigational tools. It also depends on the grouping, ranking and indexing of the data, a factor too often overlooked. We will present here some preliminary results, showing how an existing electronic dictionary could be enhanced to support language producers to find the word they are looking for. To this end we have started to build a corpus-based association matrix, composed of target words and access keys (meaning elements, related concepts/words), the two being connected at their intersection in terms of weight and type of link, information used subsequently for grouping, ranking and navigation.