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The genetic architecture of the human language connectome ; L'architecture génétique du connectome du langage dans le cerveau humain
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In: https://tel.archives-ouvertes.fr/tel-03649334 ; Neuroscience. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPAST019⟩ (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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Examining the Effect of Acculturation and Language Proficiency on the Psychological Assessment of Spanish-English Bilinguals ...
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From Error Annotation to Quantitative Analysis: Patterns in Russian Language Learning
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In: ISSN: 0036-0252 ; Russian language journal ; https://hal.archives-ouvertes.fr/hal-03376956 ; Russian language journal, American Councils for International Education, Michigan State University 2021, 71 (3), pp.39-70 (2021)
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Abstract:
International audience ; This study relies on error annotation of Russian texts written by French students and collected in the Russian Learner Corpus (RLC, http://www.web-corpora.net/RLC/), and observes error progression in two groups of learners, foreign learners (FLs) and heritage learners (HLs), and across all CEFR language proficiency levels (A1–C2). The errors are annotated based on five linguistic categories: spelling, morphology, syntax, lexis and discourse. Linguistic questions discussed in each category are supported with authentic examples of learner errors. Additionally, possible causes of errors (intralinguistic, interlinguistic, and/or extralinguistic) and the particularities of learner errors depending on the group are briefly discussed. General results reveal that the most problematic category for the group of FLs is syntax, while HLs are most challenged by spelling.This study demonstrates the value of quantitative analysis of a manually annotated corpus which reveals general trends in the acquisition of Russian and describes learners’ difficulties with specific linguistic categories. Therefore, it might be of interest not only for language instructors but also for linguists and specialists of foreign language acquisition.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [SCCO.LING]Cognitive science/Linguistics; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; cross-sectional studies; descriptive statistics; error analysis; error tagging; foreign language acquisition; grammar; learner corpora; Russian language
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URL: https://hal.archives-ouvertes.fr/hal-03376956
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Machine Learning of Motion Statistics Reveals the Kinematic Signature of the Identity of a Person in Sign Language
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In: ISSN: 2296-4185 ; Frontiers in Bioengineering and Biotechnology ; https://hal.archives-ouvertes.fr/hal-03298752 ; Frontiers in Bioengineering and Biotechnology, Frontiers, 2021, 9, ⟨10.3389/fbioe.2021.710132⟩ (2021)
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A logistic regression model for predicting child language performance ; Un modèle de régression logistique pour la prédiction du développement langagier chez l'enfant
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In: SIS 2021, 50th Annuale Conference of the Italian Statistical Society" ; https://hal.archives-ouvertes.fr/hal-03318721 ; SIS 2021, 50th Annuale Conference of the Italian Statistical Society", Jun 2021, Pise, Italy (2021)
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The Machine in the Garden of Meter and Rythm
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In: Plotting Poetry. On Mechanically-Enhanced Reading ; https://hal.telecom-paris.fr/hal-03255491 ; Bories, Anne-Sophie ; Purnelle, Gérald ; Marchal, Hugues. Plotting Poetry. On Mechanically-Enhanced Reading, Presses universitaires de Liège, 2021, 978-2-87562-280-8 (2021)
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Chapter 9. Identification of clusters of lexical areas using geographical factors
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In: Language Variation – European Perspectives VIIISelected papers from the Tenth International Conference on Language Variation in Europe (ICLaVE 10), Leeuwarden, June 2019 ; https://halshs.archives-ouvertes.fr/halshs-03272222 ; Hans Van de Velde; Nanna Haug Hilton; Remco Knooihuizen. Language Variation – European Perspectives VIII Selected papers from the Tenth International Conference on Language Variation in Europe (ICLaVE 10), Leeuwarden, June 2019, John Benjamins B.V., pp.210-225, 2021, 978 90 272 5982 0. ⟨10.1075/silv.25.09cha⟩ ; https://www.jbe-platform.com/content/books/9789027259820 (2021)
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End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings
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In: ISBN: 978-1-6654-0019-0 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) ; https://hal.archives-ouvertes.fr/hal-03405970 ; 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Sep 2021, Nara, Japan ; https://www.acii-conf.net/2021/ (2021)
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Cascading collocations: Collocades as correlates of formulaic language ...
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Cascading collocations: Collocades as correlates of formulaic language ...
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A Codicological and Linguistic Typology of Common Torah Codices from the Cairo Genizah ...
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