Modèle de vérification grammaticale automatique gauche-droite

Abstract : This thesis presents a model for automated left-right grammar checking based on analysis of a corpus of typescript errors. Studies in cognitive psychology have shown that the revision process works by confronting expectations with results. For humans, detecting a grammatical error therefore relies on an unfulfilled expectation on the part of the revisor. The model presented here is based on this principle. In order to deal with expectations from the point of view of computational processing, two common concepts in NLP are called upon: the unification principle and chunk segmentation. The former is particularly adapted to checking agreements, while the latter provides an intermediate computational unit to delimit, and therefore simplify, detection of grammatical inconsistencies. Finally, the model?s originality lies in the left-right analysis it provides, which is constructed as the text is produced/read.
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Agnès Souque. Modèle de vérification grammaticale automatique gauche-droite. Linguistique. Université de Grenoble, 2014. Français. ⟨NNT : 2014GRENL012⟩. ⟨tel-01247368⟩

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