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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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PROTECT: A Pipeline for Propaganda Detection and Classification
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In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
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Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
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In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
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Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
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Sentence Comprehension Deficits of Specific Language Impairment (Montgomery et al., 2016) ...
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Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
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Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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Memory and linguistic demands of the Token Test (Pham et al., 2022) ...
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Abstract:
Purpose: Working memory and linguistic knowledge are highly intertwined in language tasks. Verbal working memory in particular has been studied as a potential constraint on language performance. This, in turn, highlights the need for a clinical assessment tool that will assist clinicians in understanding individual children’s performance in relation to working memory and language. In this study, we investigated whether performance on the Token Test could capture differences in verbal working memory and linguistic knowledge given its manipulation of length and syntactic complexity. Method: In Experiment 1, 257 children ages 4–7 years completed our Modified-Shortened Token Test, in which they carried out commands of increasing length and complexity. Experiment 2 was an exploratory study that included a separate group of 24 kindergarten-age children who completed our Modified-Shortened Token Test as well as other memory and language measures. Results: The factor analysis in Experiment 1 revealed a three-factor ...
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Keyword:
Child language acquisition; Memory and attention; Natural language processing
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URL: https://dx.doi.org/10.23641/asha.19178474.v1
https://asha.figshare.com/articles/journal_contribution/Memory_and_linguistic_demands_of_the_Token_Test_Pham_et_al_2022_/19178474/1
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Latin Lemmatization & POS Tagging. Issues, Resources, Tools ...
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Latin Lemmatization & POS Tagging. Issues, Resources, Tools ...
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