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Predicting CEFR levels in learners of English: The use of microsystem criterial features in a machine learning approach
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In: ISSN: 0958-3440 ; EISSN: 0958-3440 ; ReCALL ; https://hal.archives-ouvertes.fr/hal-03428636 ; ReCALL, Cambridge University Press (CUP), 2021, pp.1-17. ⟨10.1017/S095834402100029X⟩ (2021)
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Machine learning for learner English ; Machine learning for learner English: A plea for creating learner data challenges
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In: International Journal of Rearner Corpus Research ; https://hal.univ-rennes2.fr/hal-02496670 ; International Journal of Rearner Corpus Research, John Benjamins Publishing Company, 2020, 6 (1), pp.72-103 ; https://benjamins.com/catalog/ijlcr.18012.bal (2020)
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EIIDA’s Second Life: Préparer un corpus multilingue oral à des transpositions didactiques futures
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In: Ressources linguistiques, méthodes et Applications Didactiquesen Langues de Spécialité ; https://hal.archives-ouvertes.fr/hal-02533916 ; Ressources linguistiques, méthodes et Applications Didactiquesen Langues de Spécialité, Feb 2020, Grenoble, France (2020)
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A Franco-Irish project for the automatic identification of criterial features in learners of English
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In: EUROCALL 2019 ; https://hal.univ-rennes2.fr/hal-02496627 ; EUROCALL 2019, Université de Louvain la Neuve, Aug 2019, Louvain la Neuve, Belgium (2019)
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Prototype de feedback visuel des productions écrites d'apprenants francophones de l'anglais sous Moodle
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In: Environnements Informatiques pour l'Apprentissage Humain (EIAH'19) ; https://hal.univ-rennes2.fr/hal-02496651 ; Environnements Informatiques pour l'Apprentissage Humain (EIAH'19), University of Paris Sorbonne, Jun 2019, Paris, France (2019)
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Investigating the scope of textual metrics for learner level discrimination and learner analytics
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In: Learner Corpus Research Conference ; https://hal.archives-ouvertes.fr/hal-02496571 ; Learner Corpus Research Conference, University of Warsaw, Poland, Sep 2019, Varsaw, Poland ; Learner Corpus Association (2019)
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Abstract:
International audience ; This paper focuses on textual metrics that can be used in ICALL systems as criterial features. Empirical research approaches to learner corpora include the identification of criterial features linked to learners’ proficiency levels. With a view to developing ICALL systems aimed at giving feedback on the level of proficiency, it is necessary to identify which metrics are significant to discriminate learners at a given stage (Crossley et al. 2011; Hawkins and Filipović 2012; Arnold et al. 2018; Pilán and Volodina 2018). However, the metrics need to be self-intuitive for learners in their meta-cognitive learning processes. Our research question is to investigate the significance of a scope-oriented taxonomy of metrics. For that purpose, we propose a fine-grained taxonomy based on the scope of the metrics to support feedback related to word, sentence or text levels. The formulae of metrics rely on different types of variables such as syllables, words, clauses and sentences. Our purpose is to match metrics with scopes and to investigate how these scopes correlate with different proficiency levels. We follow a supervised learning approach in which we test metrics of different scopes in relation to the scores obtained by students at the DIALANG test (Alderson and Huhta 2005), as a proxy to the CEFR. We put to the test the typology with the classification of 282 texts written by French learners of English. The data processing pipeline relies on {quanteda} R (Benoit et al. 2018) and Lu’s L2SCA (Lu 2010) to compute a range of metrics per text. We apply the randomForest modeling method in order to classify texts according to levels. When classifying texts across the six classes on the test set, results are mitigated with a mean accuracy of 55.35%. When classifying according to three aggregated A, B and C levels, accuracy is 75% with most confusion between A and B levels. We conduct model explanation by extracting important variables with the Gini Index measure. Results show that Root & Corrected & log TTR, Complex Nominals (CN), Dependent clauses/clauses, Number of Words, sentences, Yule’s K metrics have the highest level of importance in the crucial B level, i.e. that of the independent user. These metrics relate to scopes with fine grained attributes such as size in texts, type repetitions in texts, word variations in texts or specific constituents in sentences. With such scopes it is possible to provide more meaningful feedback for learners.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.LING]Cognitive science/Linguistics
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URL: https://hal.archives-ouvertes.fr/hal-02496571
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Investigating Criterial Features of Learner English and Predicting CEFR Levels in French Learners of English
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In: EUROCALL 2019 ; https://hal.univ-rennes2.fr/hal-02496615 ; EUROCALL 2019, University of Louvain La Neuve, Aug 2019, Louvain la Neuve, Belgium (2019)
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A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors
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In: EC-TEL 2019 ; https://hal.univ-rennes2.fr/hal-02496688 ; EC-TEL 2019, EATEL, Sep 2019, Delft, Netherlands. pp.308-320 ; http://www.ec-tel.eu/index.php?id=957 (2019)
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The implicit metalinguistic discourse of tagsets for English: retagging the Brown corpus
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In: Les discours métalinguistiques 3 ; https://hal.univ-rennes2.fr/hal-02496556 ; Les discours métalinguistiques 3, Université de Paris 13, Nov 2019, Paris, France (2019)
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Predicting CEFRL levels in learner English on the basis of metrics and full texts
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In: Conference paper presented at Conférence sur l'Apprentissage Automatique (CAp) 2018 ; https://hal.univ-rennes2.fr/hal-02279948 ; Conference paper presented at Conférence sur l'Apprentissage Automatique (CAp) 2018, INSA Rouen, Jun 2018, Rouen, France (2018)
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Intonational PEriods (IPE) and Formulaic Language: A Genre-based Analysis of a French Speech Database
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In: Computational and Corpus-based Phraseology: Recent Advances and Interdisciplinary Approaches ; EUROPHRAS 2017 - Computational and Corpus-based Phraseology: Recent Advances and Interdisciplinary Approaches ; https://hal.archives-ouvertes.fr/hal-02065648 ; EUROPHRAS 2017 - Computational and Corpus-based Phraseology: Recent Advances and Interdisciplinary Approaches, Nov 2017, Londres, United Kingdom. pp.113-121, ⟨10.26615/978-2-9701095-2-5_014⟩ (2017)
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Comparing corpora to identify learner-specific features of English: The case of this, that and it
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In: Book of Abstracts LCR 2015 ; Learner Corpus Research Conference (LCR 2015) ; https://hal-univ-paris.archives-ouvertes.fr/hal-01239837 ; Learner Corpus Research Conference (LCR 2015), Radboud University, Sep 2015, Radboud, Netherlands. pp.68-69 (2015)
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Automated classification of unexpected uses of this and that in a learner corpus of English
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In: Recent Advances in Corpus Linguistics: Developing and Exploiting Corpora ; https://hal.archives-ouvertes.fr/hal-01058760 ; Lieven Vandelanotte; Kristin Davidse; Caroline Gentens. Recent Advances in Corpus Linguistics: Developing and Exploiting Corpora, 78, Brill, pp.309-324, 2014, Rodopi Language and Linguistics Special E-Book, ⟨10.1163/9789401211130_015⟩ (2014)
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Automated processing of an English learner corpus: the case of this and that
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In: ICAME332012 : Corpora at the centre and crossroads of English linguistics ; https://hal-univ-paris.archives-ouvertes.fr/hal-01239864 ; ICAME332012 : Corpora at the centre and crossroads of English linguistics, University of Leuven, May 2012, Louvain, Belgium ; http://s3.amazonaws.com/academia.edu.documents/30265742/icame33abstracts.pdf?AWSAccessKeyId=AKIAJ56TQJRTWSMTNPEA&Expires=1449576100&Signature=v5bh0ROXvar4AQ5uq1SzXGl14Ak%3D&response-content-disposition=inline%3B%20filename%3DCohesive_conjunctions_across_languages_a.pdf#page=274 (2012)
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