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Canessa, Enrique; Chaigneau, Sergio E.; Moreno, Sebastián – Cognitive Science, 2021
In the property listing task (PLT), participants are asked to list properties for a concept (e.g., for the concept "dog," "barks," and "is a pet" may be produced). In conceptual property norming (CPNs) studies, participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of…
Descriptors: Language Processing, Concept Formation, Semantics, Visual Impairments
Rachel Carter Poirier – ProQuest LLC, 2023
Reading is a fascinating cognitive process through which individuals perceive arbitrary symbols on a page and turn them into vivid mental representations of text. Most available evidence supports an embodied explanation for how readers are capable of such representations--they recruit supralinguistic brain regions in order to mentally simulate the…
Descriptors: Figurative Language, Reading Comprehension, Reading Processes, Reading Strategies
Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory
Finley, Sara – First Language, 2020
In this commentary, I discuss why, despite the existence of gradience in phonetics and phonology, there is still a need for abstract representations. Most proponents of exemplar models assume multiple levels of abstraction, allowing for an integration of the gradient and the categorical. Ben Ambridge's dismissal of generative models such as…
Descriptors: Phonology, Phonetics, Abstract Reasoning, Linguistic Theory
Krzemien, Magali; Seret, Esther; Maillart, Christelle – Journal of Child Language, 2021
The generalisation of linguistic constructions is performed through analogical reasoning. Children with developmental language disorders (DLD) are impaired in analogical reasoning and in generalisation. However, these processes are improved by an input involving variability and similarity. Here we investigated the performance of children with or…
Descriptors: Generalization, Language Impairments, Figurative Language, Abstract Reasoning
Kate Quane; Helen Booth – Australian Primary Mathematics Classroom, 2023
The authors define two mathematical cognitive verbs which are fundamental to the development of mathematical thinking and reasoning. They distinguish between 'describing' and 'explaining' in relation to doing mathematics, rather than using them interchangeably.
Descriptors: Mathematics Instruction, Teaching Methods, Thinking Skills, Verbs
Lieven, Elena; Ferry, Alissa; Theakston, Anna; Twomey, Katherine E. – First Language, 2020
During language acquisition children generalise at multiple layers of granularity. Ambridge argues that abstraction-based accounts suffer from lumping (over-general abstractions) or splitting (over-precise abstractions). Ambridge argues that the only way to overcome this conundrum is in a purely exemplar/analogy-based system in which…
Descriptors: Language Acquisition, Children, Generalization, Abstract Reasoning
Zettersten, Martin; Schonberg, Christina; Lupyan, Gary – First Language, 2020
This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…
Descriptors: Models, Language Acquisition, Prediction, Language Processing
McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
Adger, David – First Language, 2020
The syntactic behaviour of human beings cannot be explained by analogical generalization on the basis of concrete exemplars: analogies in surface form are insufficient to account for human grammatical knowledge, because they fail to hold in situations where they should, and fail to extend in situations where they need to. [For Ben Ambridge's…
Descriptors: Syntax, Figurative Language, Models, Generalization
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
Larissa Maria Troesch; Jessica Carolyn Weiner-Bühler; Alexander Grob – Language Learning and Development, 2024
A good deal of research purports that bilingualism has a positive effect on some aspects of cognitive functioning. However, this effect is not consistent, and little research examines trajectories of cognitive skill development in bilingual children. Moreover, it remains unclear whether different types of bilingualism impact how cognitive…
Descriptors: Bilingualism, Psycholinguistics, Cognitive Ability, German
Ambridge, Ben – First Language, 2020
In this response to commentators, I agree with those who suggested that the distinction between exemplar- and abstraction-based accounts is something of a false dichotomy and therefore move to an abstractions-made-of-exemplars account under which (a) we store all the exemplars that we hear (subject to attention, decay, interference, etc.) but (b)…
Descriptors: Language Acquisition, Syntax, Computational Linguistics, Language Research
Messenger, Katherine; Hardy, Sophie M.; Coumel, Marion – First Language, 2020
The authors argue that Ambridge's radical exemplar account of language cannot clearly explain all syntactic priming evidence, such as inverse preference effects ("greater" priming for less frequent structures), and the contrast between short-lived lexical boost and long-lived abstract priming. Moreover, without recourse to a level of…
Descriptors: Language Acquisition, Syntax, Priming, Criticism