Propositions pour la détection automatique de la néologie sémantique

• Publication type: Journal article
• Journal:
  Cahiers de lexicologie
  2012 – 1, n° 100
  . Néologie sémantique et analyse de corpus
• Author: Reutenauer (Coralie)
• Abstract: Various techniques have been developed and implemented to process neology of form automatically, but the processing of semantic neology is still a tricky question. Mechanisms underlying semantic neology are described using semantic features or semes in works on text semantics (Rastier and Valette 2009). In this paper, we propose a prospective approach to detect semantic neology using statistical methods and corpus analysis. These methods are inspired from text semantics, since they use descriptors considered as semes. We propose a process relying on semantic tagging to detect semantic neologisms. This process is applied to study the French adjective toxique in the context of the economic crisis in 2008 and 2009.
• Pages: 137 to 160
• Journal: Journal of Lexicology
• CLIL theme: 3147 -- SCIENCES HUMAINES ET SOCIALES, LETTRES -- Lettres et Sciences du langage -- Linguistique, Sciences du langage
• EAN: 9782812441479
• ISBN: 978-2-8124-4147-9
• ISSN: 2262-0346
• DOI: 10.15122/isbn.978-2-8124-4147-9.p.0137
• Publisher: Classiques Garnier
• Online publication: 08-12-2012
• Periodicity: Biannual
• Language: French
• Keyword: semantic neology, corpus linguistics, textual statistics, text-based semantics, meaning representation, domains, semantic tagging

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