hide
Free keywords:
-
Abstract:
Roget's Thesaurus and WordNet are very widely used lexical reference works.
We describe an automatic mapping procedure that effectively produces French
translations of the terms in these two resources. Our approach to the
challenging task of
disambiguation is based on structural statistics as well as measures of
semantic relatedness
that are utilized to learn a classification model for associations between
entries in the thesaurus and French terms taken from bilingual dictionaries.
By building and applying such models, we have produced French versions of
Roget's
Thesaurus and WordNet with a considerable level of accuracy, which can be
used for a variety of different purposes, by humans as well as in
computational applications.
