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A Cross-platform Investigation of Complexity for Russian Learners of EnglishEUROCALL2021, Sorbonne université, Aug 2021, Paris, France
Conference papers
hal-03701425v1
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From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner DataLREC2020, European Language Resources Association (ELRA), May 2020, Marseille, France. pp.112-120
Conference papers
hal-02634745v1
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Some metalinguistic assumptions behind tagsets for English: Evidence from THAT in different versions of the Brown corpusViviane Arigne; Christiane Rocq-Migette. Modèles et modélisation en linguistique / Models and Modelisation in Linguistics, Peter Lang Verlag, pp.27-81, 2022, ⟨10.3726/b19804⟩
Book sections
hal-03812454v1
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Machine learning for learner EnglishInternational Journal of Learner Corpus Research, 2020, 6 (1), pp.72-103. ⟨10.1075/ijlcr.18012.bal⟩
Journal articles
hal-02496670v1
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The implicit metalinguistic discourse of tagsets for English: retagging the Brown corpusLes discours métalinguistiques 3, Université de Paris 13, Nov 2019, Paris, France
Conference papers
hal-02496556v1
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A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner ErrorsEC-TEL 2019 - 14th European Conference on Technology Enhanced Learning, EATEL, Sep 2019, Delft, Netherlands. pp.308-320, ⟨10.1007/978-3-030-29736-7_23⟩
Conference papers
hal-02496688v1
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Predicting CEFRL levels in learner English on the basis of metrics and full textsConference paper presented at Conférence sur l'Apprentissage Automatique (CAp) 2018, INSA Rouen, Jun 2018, Rouen, France
Conference papers
hal-02279948v1
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Predicting CEFR levels in learners of English: The use of microsystem criterial features in a machine learning approachReCALL, 2021, pp.1-17. ⟨10.1017/S095834402100029X⟩
Journal articles
hal-03428636v1
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Investigating the scope of textual metrics for learner level discrimination and learner analyticsLearner Corpus Research Conference, University of Warsaw, Poland, Sep 2019, Varsaw, Poland
Conference papers
hal-02496571v1
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Investigating Criterial Features of Learner English and Predicting CEFR Levels in French Learners of EnglishEUROCALL 2019, University of Louvain La Neuve, Aug 2019, Louvain la Neuve, Belgium
Conference papers
hal-02496615v1
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Prototype de feedback visuel des productions écrites d'apprenants francophones de l'anglais sous MoodleEnvironnements Informatiques pour l'Apprentissage Humain (EIAH'19), University of Paris Sorbonne, Jun 2019, Paris, France
Conference papers
hal-02496651v1
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A Franco-Irish project for the automatic identification of criterial features in learners of EnglishEUROCALL 2019, Université de Louvain la Neuve, Aug 2019, Louvain la Neuve, Belgium
Conference papers
hal-02496627v1
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Un prototype en ligne pour la prédiction du niveau de compétence en anglais des productions écrites6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 4 : Démonstrations et résumés d'articles internationaux, Jun 2020, Nancy, France. pp.30-33
Conference papers
hal-02768504v3
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