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Acquisition of Morphological Families and Derivational Series from a Machine Readable Dictionary
Nabil Hathout
166-180 (complete paper or proceedings contents)

Abstract

The paper presents a linguistic and computational model aimed at making the morphological structure of the lexicon emerge from the formal and semantic regularities of the words it contains. The model is word-based. The proposed morphological structure consists of (1) binary relations that connect each headword with words that are morphologically related, and especially with the members of its morphological family and its derivational series, and (2) the analogies that hold between the words. The model has been tested on the lexicon of French using the TLFi machine readable dictionary.

Published in

Selected Proceedings of the 6th Décembrettes: Morphology in Bordeaux
edited by Fabio Montermini, Gilles Boyé, and Jesse Tseng
Table of contents
Printed edition: $190.00