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by P. Zweigenbaum, N. Grabar, Pierre Zweigenbaum, Service D'informatique Mdicale
http://www.biomath.jussieu.fr/~pz/FTPapiers/./Zweigenbaum:MIM2000SUB.ps.gz
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Abstract:
Morphological knowledge, especially derivation and compounding, is extremely useful both for natural language processing and information retrieval. Whereas large morphological knowledge bases are available for some languages, this is not the case for French. In order to fill this gap, we aim at setting up a method that can acquire automatically various kinds of morphological knowledge for a given language and domain. This method relies on the synonym terms present in a thesaurus of the domain and a list of words that can be drawn from the same thesaurus. This paper presents a series of experiments whose goal is to learn morphological knowledge from this initial data and without a priori linguistic knowledge. It shows that one can obtain instantaneously a massive, gross description of word morphology in the domain addressed.
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