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Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K’iche’
Ambridge, Ben; Doherty, Laura; Maitreyee, Ramya. - : F1000 Research Ltd, 2022
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2
Efficient adaptation to listener proficiency: The case of referring expressions
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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3
A cognitive bias for Zipfian distributions? Uniform distributions become more skewed via cultural transmission
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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A cognitive bias for Zipfian distributions? Uniform distributions become more skewed via cultural transmission ...
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5
Efficient adaptation to listener proficiency: The case of referring expressions ...
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6
Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K’iche’
Ambridge, Ben; Doherty, Laura; Maitreyee, Ramya. - : F1000 Research Ltd, 2021
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7
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020
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8
Data for: The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020
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9
The learnability consequences of Zipfian distributions: Word Segmentation is Facilitated in More Predictable Distributions ...
Lavi-Rotbain, Ori; Arnon, Inbal. - : PsychArchives, 2020
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10
A learning bias for word order harmony: evidence from speakers of non-harmonic languages
In: ISSN: 0010-0277 ; Cognition, Vol. 204 (2020) P. 104392 (2020)
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11
The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'()
In: Cognition (2020)
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12
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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13
The crosslinguistic acquisition of sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and K'iche'.
Abstract: This preregistered study tested three theoretical proposals for how children form productive yet restricted linguistic generalizations, avoiding errors such as *The clown laughed the man, across three age groups (5-6 years, 9-10 years, adults) and five languages (English, Japanese, Hindi, Hebrew and K'iche'). Participants rated, on a five-point scale, correct and ungrammatical sentences describing events of causation (e.g., *Someone laughed the man; Someone made the man laugh; Someone broke the truck; ?Someone made the truck break). The verb-semantics hypothesis predicts that, for all languages, by-verb differences in acceptability ratings will be predicted by the extent to which the causing and caused event (e.g., amusing and laughing) merge conceptually into a single event (as rated by separate groups of adult participants). The entrenchment and preemption hypotheses predict, for all languages, that by-verb differences in acceptability ratings will be predicted by, respectively, the verb's relative overall frequency, and frequency in nearly-synonymous constructions (e.g., X made Y laugh for *Someone laughed the man). Analysis using mixed effects models revealed that entrenchment/preemption effects (which could not be distinguished due to collinearity) were observed for all age groups and all languages except K'iche', which suffered from a thin corpus and showed only preemption sporadically. All languages showed effects of event-merge semantics, except K'iche' which showed only effects of supplementary semantic predictors. We end by presenting a computational model which successfully simulates this pattern of results in a single discriminative-learning mechanism, achieving by-verb correlations of around r = 0.75 with human judgment data.
URL: https://www.sciencedirect.com/science/article/pii/S0010027720301293
http://livrepository.liverpool.ac.uk/3095707/
http://livrepository.liverpool.ac.uk/3095707/1/CLASS1_Cognition.pdf
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14
Processing Non-Concatenative Morphology – A Developmental Computational Model
In: Proceedings of the Society for Computation in Linguistics (2019)
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15
Literate and preliterate children show different learning patterns in an artificial language learning task [<Journal>]
Havron, Naomi [Verfasser]; Raviv, Limor [Verfasser]; Arnon, Inbal [Verfasser]
DNB Subject Category Language
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16
Systematicity, but not compositionality: Examining the emergence of linguistic structure in children and adults using iterated learning ...
Raviv, Limor; Arnon, inbal. - : Open Science Framework, 2018
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17
Do current statistical learning capture stable individual differences in children? An investigation of task reliability across modalities ...
Arnon, inbal. - : PsyArXiv, 2018
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18
Statistical learning, implicit learning and first language acquisition: a critical evaluation of age-invariance and the link to language learning outcomes ...
Arnon, inbal. - : PsyArXiv, 2018
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19
“Piensa” twice: On the foreign language effect in decision making
In: Cognition. - Amsterdam [u.a] : Elsevier 130 (2014) 2, 236-254
OLC Linguistik
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20
Introduction : language acquisition in interaction
In: Language in interaction (Amsterdam, 2014), p. 1-12
MPI für Psycholinguistik
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