Acquisition of morphological families and derivational series from a machine readable dictionary

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dc.creatorHathout, Nabil
dc.date2009-05-11
dc.date.accessioned2026-07-07T13:13:42Z
dc.date.available2026-07-07T13:13:42Z
dc.descriptionThe paper presents a linguistic and computational model aiming 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 of (2) the analogies that hold between the words. The model has been tested on the lexicon of French using the TLFi machine readable dictionary.
dc.descriptionproceedings of the 6th Décembrettes
dc.identifierhttps://arxiv.org/abs/0905.1609
dc.identifierhttp://arxiv.org/abs/0905.1609
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/229978
dc.subjectComputation and Language
dc.titleAcquisition of morphological families and derivational series from a machine readable dictionary
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