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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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Satellite- vs. verb-framing underpredicts nonverbal motion categorization : insights from a large language sample and simulations
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