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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
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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
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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
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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
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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
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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
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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
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Chandler, Steve – First Language, 2020
Ambridge reviews and augments an impressive body of research demonstrating both the advantages and the necessity of an exemplar-based model of knowledge of one's language. He cites three computational models that have been applied successfully to issues of phonology and morphology. Focusing on Ambridge's discussion of sentence-level constructions,…
Descriptors: Models, Figurative Language, Language Processing, Language Acquisition
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Hou, Lynn; Morford, Jill P. – First Language, 2020
The visual-manual modality of sign languages renders them a unique test case for language acquisition and processing theories. In this commentary the authors describe evidence from signed languages, and ask whether it is consistent with Ambridge's proposal. The evidence includes recent research on collocations in American Sign Language that reveal…
Descriptors: Sign Language, Phrase Structure, American Sign Language, Syntax
Johnson, Matt A. – ProQuest LLC, 2013
This dissertation will focus on the processing and learning of abstract, phrasal argument structure constructions. Chapter 1 provides the theoretical framework for abstract constructions, and illustrates the importance of such representations in speakers' linguistic knowledge. Chapter 2 reviews the evidence for meaning being associated with…
Descriptors: Autism, Prediction, Language Acquisition, Brain Hemisphere Functions
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Moriarty, Sandra – Journal of Visual Literacy, 1994
Discusses several philosophies of linguistics and semiotics that debate the importance of words and their relationship to signs, language as the primary modeling system, and the historical primacy of verbal versus visual communication. Describes human communication as both language-based and nonverbal, both aspects inviting arbitrary and abstract…
Descriptors: Abstract Reasoning, Communication (Thought Transfer), Interpretive Skills, Language Processing
Svensson, Lennart – 1978
This paper considers the problem of differentiating thought and language in a way that makes it possible to relate them to each other. The analysis covers approaches of sociolinguistic research, different models of language and cognitive functioning within psychology and linguistics, the cybernetic approach, and psycholinguistic analyses. A common…
Descriptors: Abstract Reasoning, Cognitive Processes, Comparative Analysis, Cross Cultural Studies
Hurtig, Richard – 1974
In the first section a sketch of a tense logic is presented and a mechanism is suggested for including aspects of the tense logic into the Grammar (theory of language). Specifically, several grammatical structures are shown to incorporate temporal features. A semantic projection mechanism is utilized to amalgamate the temporal features in elements…
Descriptors: Abstract Reasoning, Adverbs, Cognitive Processes, Conjunctions