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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
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In: SyntaxFest Quasy 2021 - Quantitative Syntax ; https://hal.inria.fr/hal-03501774 ; SyntaxFest Quasy 2021 - Quantitative Syntax, Mar 2022, Sofia, Bulgaria (2022)
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Corpus-based Language Universals Analysis using Universal Dependencies ; Analyse orientée corpus d'universaux linguistiques sur Universal Dependencies
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In: Quasy (Quantitative Syntax), SyntaxFest 2021 ; https://hal.inria.fr/hal-03501774 ; Quasy (Quantitative Syntax), SyntaxFest 2021, Mar 2022, Sofia, Bulgaria (2022)
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French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English
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In: ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03629677 ; ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland (2022)
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Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
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Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
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In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03462112 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, GDR LIFT - Linguistique Informatique, Formelle et de Terrain, Dec 2021, Grenoble, France (2021)
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The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies.
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In: https://hal.archives-ouvertes.fr/hal-03230287 ; 2021 (2021)
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Language Teachers and Crowdsourcing: Insights from a Cross-European Survey
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In: ISSN: 1331-6745 ; EISSN: 1849-0379 ; Rasprave Instituta za hrvatski jezik i jezikoslovlje ; https://hal.inria.fr/hal-02974069 ; Rasprave Instituta za hrvatski jezik i jezikoslovlje, 2020, 46 (1), pp.1-28. ⟨10.31724/rihjj.46.1.1⟩ (2020)
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Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning
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In: LREC 2020 - Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02879883 ; LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France (2020)
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Text Corpora and the Challenge of Newly Written Languages
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In: 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020) ; https://hal.archives-ouvertes.fr/hal-02611209 ; 1st Joint SLTU and CCURL Workshop (SLTU-CCURL 2020), May 2020, Marseille, France (2020)
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Produire des données pour la recherche en jouant aux zombies
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In: ISSN: 2270-6224 ; Interstices ; https://hal.inria.fr/hal-01827612 ; Interstices, INRIA, 2018 ; https://interstices.info/produire-des-donnees-pour-la-recherche-en-jouant-aux-zombies (2018)
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"Fingers in the Nose": Evaluating Speakers' Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform
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In: Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) ; https://hal.archives-ouvertes.fr/hal-01912706 ; Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Aug 2018, Santa Fe, United States. pp.207 - 213 ; https://aclanthology.coli.uni-saarland.de/events/ws-2018/#W18-49 (2018)
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Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax
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In: International Conference on Computational Linguistics (COLING) ; https://hal.inria.fr/hal-01378980 ; International Conference on Computational Linguistics (COLING), Dec 2016, Osaka, Japan ; http://coling2016.anlp.jp/ (2016)
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Analyse lexicale outillée de la parole transcrite de patients schizophrènes
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In: ISSN: 1248-9433 ; EISSN: 1965-0906 ; Revue TAL ; https://hal.inria.fr/hal-01188677 ; Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2015, Natural Language Processing and Cognition, 55 (3), pp.91 - 115 (2015)
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Abstract:
International audience ; This article details the results of analyses we conducted on the discourse of schizophrenic patients, at the oral production (disfluences) and lexical (part-of-speech and lemmas) levels. This study is part of a larger project, which includes other levels of analyses (syntax and discourse). The obtained results should help us rebut or identify new linguistic evidence participating in the manifestation of a dysfunction at these different levels. The corpus contains more than 375,000 words, its analysis therefore required that we use Natural Language Processing (NLP) and lexicometric tools. In particular, we processed disfluencies and parts-of-speech separately, which allowed us to demonstrate that if schizophrenic patients do produce more disfluencies than control, their lexical richness is not significatively different. ; Cet article détaille les résultats d'analyses réalisées sur la transcription d'entretiens avec des patients schizophrènes, aux niveaux de la production orale (disfluences) et du lexique (morpho-syntaxe et lemmes). L'étude s'inscrit dans le cadre d'un projet plus large qui prévoit d'autres niveaux d'analyse (syntaxique et du discours), les résultats obtenus devant nous permettre de réfuter ou d'identifier de nouveaux indices linguistiques présents dans la manifestation d'un dysfonctionnement à ces différents niveaux. Le corpus traité contient plus de 375~000 mots, son analyse a donc nécessité l'utilisation d'outils de traitement automatique des langues (TAL) et de textométrie. Nous avons en particulier séparé le traitement des disfluences du traitement lexical, ce qui nous a permis de montrer que si les schizophrènes produisent davantage d'achoppements et de répétitions (disfluences) que les témoins, la richesse de leur lexique n'est pas significativement différente.
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Keyword:
[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SCCO]Cognitive science; discours pathologique; disfluences; disfluencies; lemmas; lemmes; morpho-syntaxe; pathological discourse; POS; schizophrenia; schizophrénie
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URL: https://hal.inria.fr/hal-01188677v2/file/defComLingandCogSci.pdf https://hal.inria.fr/hal-01188677 https://hal.inria.fr/hal-01188677v2/document
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Mapping the Lexique des Verbes du Français (Lexicon of French Verbs) to a NLP Lexicon using Examples
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969184 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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Propa-L: a Semantic Filtering Service from a Lexical Network Created using Games With A Purpose
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In: 9th International Conference on Language Resources and Evaluation ; LREC: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-00969161 ; LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. pp.1676-1681 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
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Deep Syntax Annotation of the Sequoia French Treebank
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969191 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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Evaluating Corpora Documentation with regards to the Ethics and Big Data Charter
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In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969180 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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"Where the data are coming from?" Ethics, crowdsourcing and traceability for Big Data in Human Language Technology
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In: Crowdsourcing and human computation multidisciplinary workshop ; https://hal.archives-ouvertes.fr/hal-01078045 ; Crowdsourcing and human computation multidisciplinary workshop, CNRS, Sep 2014, Paris, France (2014)
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Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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In: Human Language Technology Challenges for Computer Science and Linguistics ; https://hal.inria.fr/hal-01053047 ; Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. ⟨10.1007/978-3-319-08958-4_25⟩ (2014)
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Étude quantitative des disfluences dans le discours de schizophrènes : automatiser pour limiter les biais
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In: TALN - Traitement Automatique des Langues Naturelles ; https://hal.inria.fr/hal-01054391 ; TALN - Traitement Automatique des Langues Naturelles, Jul 2014, Marseille, France. pp.292-303 (2014)
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