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Acquisition of Morphological Families and Derivational Series from a Machine Readable Dictionary Nabil Hathout 166-180 (complete pdf) 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 ISBN 978-1-57473-433-1 library binding vii+180 pages publication date: 2009 published by Cascadilla Proceedings Project, Somerville, MA, USA |