Skip to main content

Cross-Linguistic Acquisition of Sentence Structure: Integrating Experimental and Computational Approaches

Searching for OpenAIRE data...

Publications

Direct Versus Indirect Causation as a Semantic Linguistic Universal: Using a Computational Model of English, Hebrew, Hindi, Japanese, and K'iche' Mayan to Predict Grammaticality Judgments in Balinese.

Author(s): I Nyoman Aryawibawa; Yana Qomariana; Ketut Artawa; Ben Ambridge
Published in: Cognitive Science, 1, 2021, ISSN 1551-6709
Publisher: Wiley
DOI: 10.1111/cogs.12974

Abstractions made of exemplars or You're all right and I've changed my mind. Response to commentators

Author(s): Ben Ambridge
Published in: First Language, 40(5-6), 2020, Page(s) 40-659, ISSN 0142-7237
Publisher: SAGE Publications
DOI: 10.1177/0142723720949723

Against stored abstractions: A radical exemplar model of language acquisition

Author(s): Ben Ambridge
Published in: First Language, 40/5-6, 2020, Page(s) 509-559, ISSN 0142-7237
Publisher: SAGE Publications
DOI: 10.1177/0142723719869731

Is Passive priming really impervious to verb semantics? A high-powered replication of Messenger et al. (2012)

Author(s): Darmasetiyawan, I.M.S., Messenger, K. & Ambridge, B. (2022)
Published in: Collabra: Psychology, 2022, ISSN 2474-7394
Publisher: University of California Press
DOI: 10.1525/collabra.31055

Syntactic representations contain semantic information: Evidence from Balinese passives

Author(s): Darmasetiyawan, I.M.S. & Ambridge, B.
Published in: Collabra: Psychology, 8(1), 33133, 2022, ISSN 2474-7394
Publisher: University of California Press
DOI: 10.1525/collabra.33133

Balancing information-structure and semantic constraints on construction choice: building a computational model of passive and passive-like constructions in Mandarin Chinese

Author(s): Liu, Li & Ambridge, B.
Published in: Cognitive Linguistics, 32(3), 2021, Page(s) 349-388, ISSN 1613-3641
Publisher: De Gruyter
DOI: 10.1515/cog-2019-0100

Effects of Both Preemption and Entrenchment in the Retreat from Verb Overgeneralization Errors: Four Reanalyses, an Extended Replication, and a Meta-Analytic Synthesis

Author(s): Ben Ambridge, Libby Barak, Elizabeth Wonnacott, Colin Bannard, Giovanni Sala
Published in: Collabra: Psychology, 4/1, 2018, Page(s) 19, ISSN 2474-7394
Publisher: University of California Press
DOI: 10.1525/collabra.133

The Crosslinguistic acquisition of causative sentence structure: Computational modeling and grammaticality judgments from adult and child speakers of English, Japanese, Hindi, Hebrew and Kiche

Author(s): Ambridge, B., Maitreyee, R., Tatsumi, T., Doherty, L., Zicherman, S., Mateo-Pedro, P., Bannard, C., Samanta, S., McCauley, S., Arnon, I., Bekman, D., Efrati, A., Berman, R. Narasimhan, B., Sharma, D.M., Nair, R.B., Fukumura, K., Campbell, S., Pye, C., Pixabaj, S.F.C, Peliz, M.M., & Mendoza, M.J.,
Published in: Cognition, 202, 104301, 2020, ISSN 0010-0277
Publisher: Elsevier BV
DOI: 10.1016/j.cognition.2020.104310

Testing a computational model of causative overgeneralizations: Child judgment and production data from English, Hebrew, Hindi, Japanese and K’iche’

Author(s): Ben Ambridge; Laura Doherty; Ramya Maitreyee; Tomoko Tatsumi; S Zicherman; P Mateo Pedro; A Kawakami; A. Bidgood; Clifton Pye; Bhuvana Narasimhan; Inbal Arnon; D Bekman; A Efrati; SF Can Pixabaj; MM Pelíz; MJ Mendoza; Soumitra Samanta; S Campbell; Stewart M. McCauley; Ruth A. Berman; DM Sharma; Rukmini Bhaya Nair; Kumiko Fukumura
Published in: Open Research Europe, 1, 2020, ISSN 2732-5121
Publisher: FT1000
DOI: 10.12688/openreseurope.13008.1

A Computational simulation of children's language acquisition

Author(s): Ben Ambridge
Published in: 3rd Conference on Language, Data and Knowledge (LDK 2021), 2021, Page(s) (pp. 4.1-4.3)
Publisher: Schloss Dagstuhl Leibniz Zentrum fur Informatik
DOI: 10.4230/oasics.ldk.2021.4

Why Algebraic systems aren't sufficient for syntax: Experimental evidence from passives in English, Mandarin, Indonesian, Balinese and Hebrew

Author(s): Ben Ambridge
Published in: Algebraic Structures in Natural Language, 2022
Publisher: Taylor & Francis