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The Mind-It Corpus: a Longitudinal Corpus of Electronic Messages Written by Older Adults with Incipient Alzheimer's Disease and Clinically Normal Volunteers
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In: Proceedings of the LREC 2020 Workshop on:Resources and Processing of Linguistic, Para-linguisticand Extra-linguistic Data from People with Various Form ; 3rd RaPID Workshop: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Form ; https://hal.archives-ouvertes.fr/hal-03106951 ; 3rd RaPID Workshop: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Form, May 2020, Marseille, France. pp.108-115 (2020)
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The use of patient's electronic message history for the automatic preclinical detection of Alzheimer's disease
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In: ISSN: 2352-8729 ; Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring ; https://hal.inria.fr/hal-03180786 ; Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Wiley, 2020, 16 (S6), ⟨10.1002/alz.036755⟩ (2020)
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Evaluating Lexical Simplification and Vocabulary Knowledge for Learners of French: Possibilities of Using the FLELex Resource
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In: LREC 2016 proceedings ; Language Resources and Evaluation Conference (LREC) ; https://hal.archives-ouvertes.fr/hal-02517616 ; Language Resources and Evaluation Conference (LREC), May 2016, Portorož, Slovenia (2016)
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Modèles adaptatifs pour prédire automatiquement la compétence lexicale d'un apprenant de français langue étrangère
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 ; JEP-TALN-RECITAL 2016 ; https://hal.archives-ouvertes.fr/hal-01631772 ; JEP-TALN-RECITAL 2016, Jan 2016, Paris, France (2016)
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TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
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FLELex: a graded lexical resource for French foreign learners
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In: International conference on Language Resources and Evaluation (LREC 2014) ; https://hal-amu.archives-ouvertes.fr/hal-01758123 ; International conference on Language Resources and Evaluation (LREC 2014), May 2014, Reykjavik, France (2014)
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A model to predict lexical complexity and to grade words ; Un modèle pour prédire la complexité lexicale et graduer les mots
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In: TALN'2014 ; https://hal.archives-ouvertes.fr/hal-01001916 ; TALN'2014, Jul 2014, Marseille, France. pp.91-102 ; http://www.atala.org/taln_archives/TALN/TALN-2014/taln-2014-long-009 (2014)
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Abstract:
National audience ; Analysing lexical complexity is a task that has mainly attracted the attention of psycholinguists and language teachers. More recently, this issue has seen a growing interest in the field of Natural Language Processing (NLP) and, in particular, that of automatic text simplification. The aim of this task is to identify words and structures which may be difficult to understand by a target audience and provide automated tools to simplify these contents. This article focuses on the lexical issue by identifying a set of predictors of the lexical complexity whose efficiency are assessed with a correlational analysis. The best of those variables are integrated into a model able to predict the difficulty of words for learners of French. ; Analyser la complexité lexicale est une tâche qui, depuis toujours, a principalement retenu l’attention de psycholinguistes et d’enseignants de langues. Plus récemment, cette problématique a fait l’objet d’un intérêt grandissant dans le domaine du traitement automatique des langues (TAL) et, en particulier, en simplification automatique de textes. L’objectif de cette tâche est d’identifier des termes et des structures difficiles à comprendre par un public cible et de proposer des outils de simplification automatisée de ces contenus. Cet article aborde la question lexicale en identifiant un ensemble de prédicteurs de la complexité lexicale et en évaluant leur efficacité via une analyse corrélationnelle. Les meilleures de ces variables ont été intégrées dans un modèle capable de prédire la difficulté lexicale dans un contexte d’apprentissage du français.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; analyse morphologique; complexité lexicale; graded words; lexical complexity; lexical resources; morphological analysis; mots gradués; Mots-clés : complexité lexicale; ressources lexicales; ressources lexicales Keywords: lexical complexity
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URL: https://hal.archives-ouvertes.fr/hal-01001916/document https://hal.archives-ouvertes.fr/hal-01001916 https://hal.archives-ouvertes.fr/hal-01001916/file/Galaetal_taln2014_final.pdf
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Un modèle pour prédire la complexité lexicale et graduer les mots. ...
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"i didn't spel that wrong did i. Oops":Analysis and normalisation of SMS spelling variation
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Towards a French lexicon with difficulty measures: NLP helping to bridge the gap between traditional dictionaries and specialized lexicons
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In: Proceedings of eLex 2013 ; eLex - Electronic Lexicography ; https://hal.archives-ouvertes.fr/hal-03194427 ; eLex - Electronic Lexicography, Oct 2013, Tallin, Estonia (2013)
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Coherence and Cohesion for the Assessment of Text Readability
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In: Proceedings of 10th International Workshop on Natural Language Processing and Cognitive Science (NLPCS 2013) ; https://hal.archives-ouvertes.fr/hal-00860796 ; Proceedings of 10th International Workshop on Natural Language Processing and Cognitive Science (NLPCS 2013), Oct 2013, Marseille, France. pp.11-19 (2013)
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Towards a French lexicon with difficulty measures: NLP helping to bridge the gap between traditional dictionaries and specialized lexicons ...
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Hybrid supervised classification through extended lexical patterns and SVM classifiers ; Classification supervisée hybride par motifs lexicaux étendus et classificateurs SVM
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In: 10th International Conference on statistical analysis of textual data (JADT 2010) ; https://hal.archives-ouvertes.fr/hal-02454106 ; 10th International Conference on statistical analysis of textual data (JADT 2010), Jun 2010, Rome, Italie (2010)
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Les écritures et graphies inventives des SMS face aux graphies normées
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In: Le français aujourd'hui, n 170, 3, 2010-09-01, pp.113-122 (2010)
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