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21
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ...
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22
InFillmore: Frame-Guided Language Generation with Bidirectional Context ...
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23
LINGUISTATICAL STUDY OF CHINESE INTERNET LEXICOLOGY ...
Mukhamedjanova Sh.B.. - : Zenodo, 2021
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24
LINGUISTATICAL STUDY OF CHINESE INTERNET LEXICOLOGY ...
Mukhamedjanova Sh.B.. - : Zenodo, 2021
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25
Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
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26
Essays on Representation Learning for Political Science Research
Wu, Patrick. - 2021
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27
Vocabulário escrito de estudantes de escolas públicas do Rio Grande do Sul : um estudo léxico-estatístico
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28
Languages in space and time : models and methods from complex systems theory
Patriarca, Marco; Léonard, Jean-Léo; Heinsalu, Els. - Cambridge, United Kingdom : Cambridge University Press, 2020
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UB Frankfurt Linguistik
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29
Data collection research methods in applied linguistics
Rose, Heath; McKinley, Jim; Baffoe-Djan, Jessica Briggs. - Sydney : Bloomsbury Academic, 2020
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UB Frankfurt Linguistik
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30
Statistics for linguists : an introduction using R
Winter, Bodo. - New York [u.a.] : Routledge, 2020
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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31
Beke Hansen: Corpus linguistics and sociolinguistics. Leiden: Brill/Rodopi, 2018
In: Corpora. - Edinburgh : Univ. Press 15 (2020) 1, 121-124
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32
Caractériser un texte en français : les passages-clés des niveaux A1 et A2 du CECRL.
In: Actes des JADT 2020 ; JADT 2020 15èmes Journées internationales d’Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-02430322 ; JADT 2020 15èmes Journées internationales d’Analyse statistique des Données Textuelles, Jun 2020, Toulouse, France. 11 p ; https://jadt2020.sciencesconf.org/ (2020)
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33
Identifying Language and Cognitive Profiles in Children With ASD via a Cluster Analysis Exploration: Implications for the New ICD-11
In: ISSN: 1939-3806 ; EISSN: 1939-3806 ; Autism Research ; https://hal.archives-ouvertes.fr/hal-02880841 ; Autism Research, International Society for Autism Research, Wiley Periodicals, Inc., 2020, ⟨10.1002/aur.2268⟩ (2020)
Abstract: International audience ; The new version of the International Classification of Diseases (ICD-11) mentions the existence of four different profiles in the verbal part of the Autism Spectrum Disorder (ASD), describing them as combinations of either spared or impaired functional language and intellectual abilities. The aim of the present study was to put ASD heterogeneity to the forefront by exploring whether clear profiles related to language and intellectual abilities emerge when investigation is extended to the entire spectrum, focusing on verbal children. Our study proposed a systematic investigation of both language (specifically, structural language abilities) and intellectual abilities (specifically, nonverbal cognitive abilities) in 51 6-to 12-year-old verbal children with ASD based on explicitly motivated measures. For structural language abilities, sentence repetition and nonword repetition tasks were selected; for nonverbal cognitive abilities, we chose Raven's Progressive Matrices, as well as Matrix Reasoning and Block Design from the Wechsler Scales. An integrative approach based on cluster analyses revealed five distinct profiles. Among these five profiles, all four logically possible combinations of structural language and nonverbal abilities mentioned in the ICD-11 were detected. Three profiles emerged among children with normal language abilities and two emerged among language-impaired children. Crucially, the existence of discrepant profiles of abilities suggests that children with ASD can display impaired language in presence of spared nonverbal intelligence or spared language in the presence of impaired nonverbal intelligence, reinforcing the hypothesis of the existence of a separate language module in the brain. Autism Res 2020, 00: 1-13. Lay Summary: The present work put Autism Spectrum Disorder heterogeneity to the forefront by exploring whether clear profiles related to language and cognitive abilities emerge when investigation is extended to the entire spectrum (focus-ing on verbal children). The use of explicitly motivated measures of both language and cognitive abilities and of an unsupervised machine learning approach, the cluster analysis, (a) confirmed the existence of all four logically possible profiles evoked in the new ICD-11, (b) evoked the existence of (at least) a fifth profile of language/cognitive abilities, and (c) reinforced the hypothesis of a language module in the brain.
Keyword: [SCCO.LING]Cognitive science/Linguistics; [SCCO]Cognitive science; [SHS.STAT]Humanities and Social Sciences/Methods and statistics; ASD; cluster analysis; ICD-11; nonverbal cognitive abilities; profiles; structural language
URL: https://hal.archives-ouvertes.fr/hal-02880841
https://hal.archives-ouvertes.fr/hal-02880841/file/Silleresi2020.pdf
https://hal.archives-ouvertes.fr/hal-02880841/document
https://doi.org/10.1002/aur.2268
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34
NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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35
Standard-based Lexical Models for Automatically Structured Dictionaries ; Modèles lexicaux standardisés pour les dictionnaires à structure automatique
Khemakhem, Mohamed. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03153438 ; Computation and Language [cs.CL]. Université de Paris, 2020. English (2020)
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36
Question Answering with Hybrid Data and Models ; Question-réponse utilisant des données et modèles hybrides
Ramachandra Rao, Sanjay Kamath. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-02890467 ; Document and Text Processing. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASS024⟩ (2020)
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37
It’s complicated! ; It’s complicated!: On Natural Language Processing Tools and Digital Humanities
In: “Tool Criticism 3.0” Workshop ; https://hal.archives-ouvertes.fr/hal-03084644 ; “Tool Criticism 3.0” Workshop, Jul 2020, Online (due to COVID, initially planned in Ottawa), Canada (2020)
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38
Caractérisation de registres de langue par extraction de motifs séquentiels émergents
In: JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-03078450 ; JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles, Jun 2020, Toulouse, France (2020)
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39
OFROM, corpus oral de français de Suisse romande: une ressource pour la recherche ... et pour l'enseignement/apprentissage du français
In: Babylonia. - Comano : Fondazione Lingue e Culture (2020) 1, 44-53
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40
Categorizing Languages and Speakers: Processes of Erasure in Data Treatment and Presentation
Busch, Brigitta. - : Groupe de recherche diversité urbaine, 2020. : Érudit, 2020
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