151. Les prépositions complexes en français : pour une méthode d’identification multicritère
- Author
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Benjamin Fagard, Dejan Stosic, Grammatica - Centre de recherches en linguistique française (GRAMMATICA), Université d'Artois (UA), Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094 (Lattice), Département Littératures et langage (LILA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Sorbonne Paris Cité (USPC)-Université Sorbonne Nouvelle - Paris 3, and Fagard, Benjamin
- Subjects
050101 languages & linguistics ,Linguistics and Language ,Literature and Literary Theory ,French ,Computer science ,Lexicalization ,Complex adpositions ,computer.software_genre ,Language and Linguistics ,030507 speech-language pathology & audiology ,03 medical and health sciences ,0501 psychology and cognitive sciences ,[SHS.LANGUE]Humanities and Social Sciences/Linguistics ,Corpus analysis ,Data exploration ,business.industry ,05 social sciences ,Word formation ,Grid ,[SHS.LANGUE] Humanities and Social Sciences/Linguistics ,Identification (information) ,Order (business) ,Prepositions ,Artificial intelligence ,0305 other medical science ,business ,computer ,Natural language processing - Abstract
In this paper, we develop a new method of identification of complex prepositions, in French. We include well-known semantic and morpho-syntactic tests, and introduce a few others – together, these tests make up a multi-variable grid which we believe can help identify complex prepositions. We run these tests on a list of 75 sequences, most of which are considered to be complex adpositions. We also include sequences which share the same patterns of word formation but do not have prepositional uses, in order to check the validity of our grid. Our results show that the semantic and morpho-syntactic clues used to identify complex adpositions, combined with corpus data exploration, are on the whole quite effective, but to varying degrees depending on the pattern of formation.
- Published
- 2019