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* Corresponding author 1 LiLPa EA 1339 - UMB - Linguistique, Langues et Parole LILPA

Abstract : In this paper we present a statistical machine learning approach to neologism detection going some way beyond the use of exclusion lists. We explore the impact of three groups of features: form related, morpho-lexical and thematic features. The latter type of features has not yet been used in this kind of application and represents a way to access the semantic context of new words. The results suggest that form related features are helpful at the overall classification task, while morpho-lexical and thematic features better single out true neologisms.





Autor: Ingrid Falk - Delphine Bernhard - Christophe Gérard -

Fuente: https://hal.archives-ouvertes.fr/



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