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1	Computational Models in Electroencephalography.
	Glomb, Katharina; Cabral, Joana; Cattani, Anna...
	In: Brain topography, vol 35, iss 1 (2022)
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2	Modeling Phishing Decision using Instance Based Learning and Natural Language Processing
	Xu, Tianhao; Singh, Kuldeep; Rajivan, Prashanth. - 2022
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3	How Hermeneutic Spirals may reduce Complexity to Narrative Schemata - expanding on "Complexity and the Userly Text"
	Knoller, Noam
	In: https://hal.archives-ouvertes.fr/hal-03254233 ; 2021 (2021)
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4	Is there a bilingual disadvantage for word segmentation? A computational modeling approach
	Fibla, Laia; Sebastian-Galles, Nuria; Cristia, Alejandrina
	In: ISSN: 0305-0009 ; EISSN: 1469-7602 ; Journal of Child Language ; https://hal.archives-ouvertes.fr/hal-03498905 ; Journal of Child Language, Cambridge University Press (CUP), 2021, pp.1-28. ⟨10.1017/S0305000921000568⟩ (2021)
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5	SCALa: A blueprint for computational models of language acquisition in social context
	Tsuji, Sho; Cristia, Alejandrina; Dupoux, Emmanuel
	In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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6	On the Role of Low-Level Linguistic Tasks for Reading Time Prediction
	Dary, Franck; Fourtassi, Abdellah; Nasr, Alexis
	In: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43) ; 43rd Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03303689 ; 43rd Annual Meeting of the Cognitive Science Society, Jul 2021, Vienna, Austria. pp.452 ; https://cognitivesciencesociety.org/cogsci-2021/ (2021)
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7	Do Infants Really Learn Phonetic Categories?
	Feldman, Naomi; Goldwater, Sharon; Dupoux, Emmanuel...
	In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021)
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8	COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
	Nabé, Mamady; Schwartz, Jean-Luc; Diard, Julien
	In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
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9	Cerebellar and Cortical Correlates of Internal and External Speech Error Monitoring
	Runnqvist, Elin; Chanoine, Valérie; Strijkers, Kristof...
	In: ISSN: 2632-7376 ; EISSN: 2632-7376 ; Cerebral Cortex Communications ; https://hal.archives-ouvertes.fr/hal-03340216 ; Cerebral Cortex Communications, Oxford University Press, 2021, 2, ⟨10.1093/texcom/tgab038⟩ (2021)
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10	The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning.
	Chuang, Yu-Ying; Vollmer, Marie Lenka; Shafaei-Bajestan, Elnaz...
	In: Behavior research methods, vol 53, iss 3 (2021)
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11	Multimodal Conversation Modeling via Neural Perception, Structure Learning, and Communication
	Zheng, Zilong. - : eScholarship, University of California, 2021
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12	A Hierarchical Computational Framework for Social Interaction Understanding: Interactiveness, Shared Attention, Gaze Communication and Triadic Belief Dynamics
	Fan, Lifeng. - : eScholarship, University of California, 2021
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13	Mapping International Geopolitical Agenda. Continuing National Conceptions of the Emerging European Crisis
	Grasland, Claude; Toureille, Etienne; Leconte, Romain...
	In: ISSN: 2624-909X ; EISSN: 2624-909X ; Frontiers in Big Data ; https://halshs.archives-ouvertes.fr/halshs-03506950 ; Frontiers in Big Data, Frontiers, 2021, 4, ⟨10.3389/fdata.2021.718809⟩ (2021)
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14	Continuous developmental change explains discontinuities in word learning
	Fourtassi, Abdellah; Regan, Sophie; Frank, Michael
	In: https://hal.archives-ouvertes.fr/hal-03191088 ; 2021 (2021)
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15	Modeling speech act development in early childhood: the role of frequency and linguistic cues
	Nikolaus, Mitja; Maes, Juliette; Fourtassi, Abdellah
	In: Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. ; 43rd Annual Meeting of the Cognitive Science Society. ; https://hal.archives-ouvertes.fr/hal-03236607 ; 43rd Annual Meeting of the Cognitive Science Society., Jul 2021, Vienna, Austria (2021)
	Abstract: International audience ; A crucial step in children's language development is the mastery of how to use language in context. This involves the ability to recognize and use major categories of speech acts (e.g., learning that a "question" is different from a "request"). The current work provides a quantitative account of speech acts' emergence in the wild. Using a longitudinal corpus of childcaregiver conversations annotated for speech acts (Snow et al., 1996), we introduced two complementary measures of learning based on both children's production and comprehension. We also tested two predictors of learning based on input frequency and the speech acts' quality of linguistic cues. We found that children's developmental trajectory differed largely between production and comprehension. In addition, development in both of these dimensions was not explained with the same predictors (e.g., frequency in child-directed speech was predictive of production, but not of comprehension). The broader impact of this work is to provide a computational framework for the study of communicative development where both measures and predictors of children's pragmatic development can be tested and compared.
	Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SCCO.PSYC]Cognitive science/Psychology; [SCCO]Cognitive science; computational modeling; first language acquisition; pragmatics; speech acts
	URL: https://hal.archives-ouvertes.fr/hal-03236607 https://hal.archives-ouvertes.fr/hal-03236607/file/Modeling_speech_act_development_in_early_childhood__the_role_of_frequency_and_linguistic_cues%281%29.pdf https://hal.archives-ouvertes.fr/hal-03236607/document
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16	The 15th International Symposium on Computer Music Multidisciplinary Research ; The 15th International Symposium on Computer Music Multidisciplinary Research: Music in the AI Era
	Kitahara, Tetsuo; ARAMAKI, Mitsuko; Kronland-Martinet, Richard. - : HAL CCSD, 2021
	In: Computer Music Multidisciplinary Research - CMMR2021 ; https://hal.archives-ouvertes.fr/hal-03573804 ; T. Kitahara, M. Aramaki, R. Kronland-Martinet, S. Ystad. Computer Music Multidisciplinary Research - CMMR2021, Nov 2021, Tokyo, Japan. pp.320, 2021, 15th International Symposium on Computer Music Multidisciplinary Research, 979-10-97-498-02-3 (2021)
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17	On the experience of English e-learning terminology frame modeling ... : Об опыте моделирования фреймов терминологии электронного обучения английского языка ...
	Ossokina, D.O.; Smith, O.. - : Гуманитарное пространство, 2021
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18	A Noisy Channel Model of N400 and P600 Effects in Sentence Comprehension ...
	Li, Jiaxuan. - : University of Chicago, 2021
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19	Revisiting the Uniform Information Density Hypothesis ...
	The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cotterell, Ryan; Haller, Patrick. - : Underline Science Inc., 2021
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20	A surprisal--duration trade-off across and within the world's languages ...
	The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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