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Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K’iche’
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Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K’iche’
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The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'()
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In: Cognition (2020)
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The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'
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The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.
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CLASS: Cross Linguistic Acquisition of Sentence Structure ...
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Children's use of prosody and word order to indicate information status in English noun phrase conjuncts
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In: Proceedings of the Linguistic Society of America; Vol 3 (2018): Proceedings of the Linguistic Society of America; 40:1–9 ; 2473-8689 (2018)
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Satellite- vs. Verb-Framing Underpredicts Nonverbal Motion Categorization: Insights from a Large Language Sample and Simulations
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In: ISSN: 2352-6408 ; EISSN: 2352-6416 ; Cognitive Semantics ; https://halshs.archives-ouvertes.fr/halshs-01667327 ; Cognitive Semantics, Brill, 2017 (2017)
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Satellite- vs. Verb-Framing Underpredicts Nonverbal Motion Categorization: Insights from a Large Language Sample and Simulations
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In: ISSN: 2352-6408 ; EISSN: 2352-6416 ; Cognitive Semantics ; https://halshs.archives-ouvertes.fr/halshs-01667327 ; Cognitive Semantics, Brill, 2017 (2017)
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Satellite- vs. Verb-Framing Underpredicts Nonverbal Motion Categorization: Insights from a Large Language Sample and Simulations
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Satellite- vs. verb-framing underpredicts nonverbal motion categorization: Insights from a large language sample and simulations
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Montero-Melis, Guillermo; Eisenbeiss, Sonja; Narasimhan, Bhuvana; Ibarretxe-Antuñano, Iraide; Kita, Sotaro; Kopecka, Anetta; Lüpke, Friederike; Nikitina, Tatiana; Tragel, Ilona; Jaeger, T. Florian; Bohnemeyer, Juergen. - : Brill, 2017
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Abstract:
Is motion cognition influenced by the large-scale typological patterns proposed in Talmy’s (2000) two-way distinction between verb-framed (V) and satellite-framed (S) languages? Previous studies investigating this question have been limited to comparing two or three languages at a time and have come to conflicting results. We present the largest cross-linguistic study on this question to date, drawing on data from nineteen genealogically diverse languages, all investigated in the same behavioral paradigm and using the same stimuli. After controlling for the different dependencies in the data by means of multilevel regression models, we find no evidence that S- vs. V-framing affects nonverbal categorization of motion events. At the same time, statistical simulations suggest that our study and previous work within the same behavioral paradigm suffer from insufficient statistical power. We discuss these findings in the light of the great variability between participants, which suggests flexibility in motion representation. Furthermore, we discuss the importance of accounting for language variability, something which can only be achieved with large cross-linguistic samples
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URL: https://eprints.soas.ac.uk/23310/1/satellite-verb-framing-underpredicts-nonverbal.pdf https://eprints.soas.ac.uk/23310/
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Satellite- vs. verb-framing underpredicts nonverbal motion categorization : insights from a large language sample and simulations
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