From Non Word to New Word: Automatically Identifying Neologisms in French Newspapers
International audience 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...
Main Authors: | , , |
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Other Authors: | , , , |
Format: | Conference Object |
Language: | English |
Published: |
HAL CCSD
2014
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Subjects: | |
Online Access: | https://hal.inria.fr/hal-00959079 https://hal.inria.fr/hal-00959079/document https://hal.inria.fr/hal-00959079/file/logo.pdf |
Summary: | International audience 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. |
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