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Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
Ambridge, Ben; Blything, Ryan P. – Journal of Child Language, 2016
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., "The boy gave a present to the girl" ? "The boy gave the girl a present"), whilst appropriately constraining those generalizations to avoid non-adultlike errors…
Descriptors: Child Language, Language Acquisition, Verbs, Generalization
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Kol, Sheli; Nir, Bracha; Wintner, Shuly – Journal of Child Language, 2014
Several models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation,…
Descriptors: Language Acquisition, Models, Computational Linguistics, Evaluation Methods
Perfors, Amy; Tenenbaum, Joshua B.; Wonnacott, Elizabeth – Journal of Child Language, 2010
We present a hierarchical Bayesian framework for modeling the acquisition of verb argument constructions. It embodies a domain-general approach to learning higher-level knowledge in the form of inductive constraints (or overhypotheses), and has been used to explain other aspects of language development such as the shape bias in learning object…
Descriptors: Verbs, Inferences, Language Acquisition, Bayesian Statistics
Alishahi, Afra; Stevenson, Suzanne – Language and Cognitive Processes, 2010
Semantic roles are a critical aspect of linguistic knowledge because they indicate the relations of the participants in an event to the main predicate. Experimental studies on children and adults show that both groups use associations between general semantic roles such as Agent and Theme, and grammatical positions such as Subject and Object, even…
Descriptors: Language Patterns, Semantics, Verbs, Grammar
Randall, Janet H. – 1981
A model for adult language learning should integrate theories in language acquisition with theories about learnability and proposals about adult language structures. Two particular problems in language acquisition are examined: (1) establishing what counts as a formal relationship in a particular domain, and (2) retreating from overgeneralizations…
Descriptors: Adult Learning, Child Language, Generalization, Language Acquisition