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Formal models of language learning

Cognition 7 (3):217-283 (1979)

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  1. Passing the buck to biology.Daniel C. Dennett - 1980 - Behavioral and Brain Sciences 3 (1):19-19.
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  • Two types of thought: Evidence from aphasia.Jules Davidoff - 2005 - Behavioral and Brain Sciences 28 (1):20-21.
    Evidence from aphasia is considered that leads to a distinction between abstract and concrete thought processes and hence for a distinction between rules and similarity. It is argued that perceptual classification is inherently a rule-following procedure and these rules are unable to be followed when a patient has difficulty with name comprehension and retrieval.
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  • The language faculty and the interpretation of linguistics.Robert Cummins & Robert M. Harnish - 1980 - Behavioral and Brain Sciences 3 (1):18-19.
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  • Empirical evidence in support of non-empiricist theories of mind.Richard F. Cromer - 1980 - Behavioral and Brain Sciences 3 (1):16-18.
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  • The logical problem of language acquisition.Fiona Cowie - 1997 - Synthese 111 (1):17-51.
    Arguments from the Logical Problem of Language Acquisition suggest that since linguistic experience provides few negative data that would falsify overgeneral grammatical hypotheses, innate knowledge of the principles of Universal Grammar must constrain learners hypothesis formulation. Although this argument indicates a need for domain-specific constraints, it does not support their innateness. Learning from mostly positive data proceeds unproblematically in virtually all domains. Since not every domain can plausibly be accorded its own special faculty, the probative value of the argument in (...)
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  • Causality and parameter setting.Robin Clark - 1989 - Behavioral and Brain Sciences 12 (2):337-338.
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  • Parameter setting in “instantaneous” and real-time acquisition.Guglielmo Cinque - 1989 - Behavioral and Brain Sciences 12 (2):336-336.
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  • The new organology.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):42-61.
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  • Rules and representations.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):1-15.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as “mental organs.” These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated (...)
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  • Rules and representations.Noam A. Chomsky - 1980 - Behavioral and Brain Sciences 3 (127):1-61.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated structures along (...)
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  • What good is five percent of a language competence?A. Charles Catania - 1990 - Behavioral and Brain Sciences 13 (4):729-731.
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  • Syntactic categorization in early language acquisition: formalizing the role of distributional analysis.Timothy A. Cartwright & Michael R. Brent - 1997 - Cognition 63 (2):121-170.
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  • On the Necessity of U-Shaped Learning.Lorenzo Carlucci & John Case - 2013 - Topics in Cognitive Science 5 (1):56-88.
    A U-shaped curve in a cognitive-developmental trajectory refers to a three-step process: good performance followed by bad performance followed by good performance once again. U-shaped curves have been observed in a wide variety of cognitive-developmental and learning contexts. U-shaped learning seems to contradict the idea that learning is a monotonic, cumulative process and thus constitutes a challenge for competing theories of cognitive development and learning. U-shaped behavior in language learning (in particular in learning English past tense) has become a central (...)
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  • Learning correction grammars.Lorenzo Carlucci, John Case & Sanjay Jain - 2009 - Journal of Symbolic Logic 74 (2):489-516.
    We investigate a new paradigm in the context of learning in the limit, namely, learning correction grammars for classes of computably enumerable (c.e.) languages. Knowing a language may feature a representation of it in terms of two grammars. The second grammar is used to make corrections to the first grammar. Such a pair of grammars can be seen as a single description of (or grammar for) the language. We call such grammars correction grammars. Correction grammars capture the observable fact that (...)
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  • Syntactic categorization in early language acquisition: formalizing the role of distributional analysis.Timothy A. Cartwright & Michael R. Brent - 1997 - Cognition 63 (2):121-170.
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  • On triggers.Hugh W. Buckingham - 1989 - Behavioral and Brain Sciences 12 (2):335-336.
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  • Linguistic function and linguistic evolution.George A. Broadwell - 1990 - Behavioral and Brain Sciences 13 (4):728-729.
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  • Advances in the computational study of language acquisition.Michael R. Brent - 1996 - Cognition 61 (1-2):1-38.
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  • Face-to-face contact during infancy: How the development of gaze to faces feeds into infants’ vocabulary outcomes.Zsofia Belteki, Carlijn van den Boomen & Caroline Junge - 2022 - Frontiers in Psychology 13.
    Infants acquire their first words through interactions with social partners. In the first year of life, infants receive a high frequency of visual and auditory input from faces, making faces a potential strong social cue in facilitating word-to-world mappings. In this position paper, we review how and when infant gaze to faces is likely to support their subsequent vocabulary outcomes. We assess the relevance of infant gaze to faces selectively, in three domains: infant gaze to different features within a face (...)
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  • Welcome to functionalism.Elizabeth Bates & Brian MacWhinney - 1990 - Behavioral and Brain Sciences 13 (4):727-728.
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  • Some observations on degree of learnability.C. L. Baker - 1989 - Behavioral and Brain Sciences 12 (2):334-335.
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  • Some remarks on the notion of competence.József Andor - 1980 - Behavioral and Brain Sciences 3 (1):15-16.
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  • Bootstrapping language acquisition.Omri Abend, Tom Kwiatkowski, Nathaniel J. Smith, Sharon Goldwater & Mark Steedman - 2017 - Cognition 164 (C):116-143.
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  • Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik - 2011 - Cognitive Science 35 (8):1407-1455.
    People are adept at inferring novel causal relations, even from only a few observations. Prior knowledge about the probability of encountering causal relations of various types and the nature of the mechanisms relating causes and effects plays a crucial role in these inferences. We test a formal account of how this knowledge can be used and acquired, based on analyzing causal induction as Bayesian inference. Five studies explored the predictions of this account with adults and 4-year-olds, using tasks in which (...)
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  • On one as an anaphor.Stephen Neale - 1989 - Behavioral and Brain Sciences 12 (2):353-354.
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  • The child's trigger experience: Degree-0 learnability.David Lightfoot - 1989 - Behavioral and Brain Sciences 12 (2):321-334.
    According to a “selective” (as opposed to “instructive”) model of human language capacity, people come to know more than they experience. The discrepancy between experience and eventual capacity (the “poverty of the stimulus”) is bridged by genetically provided information. Hence any hypothesis about the linguistic genotype (or “Universal Grammar,” UG) has consequences for what experience is needed and what form people's mature capacities (or “grammars”) will take. This BBS target article discusses the “trigger experience,” that is, the experience that actually (...)
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  • Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.
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  • Why degree-0?Wendy Wilkins - 1989 - Behavioral and Brain Sciences 12 (2):362-363.
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  • Linguistic variation and learnability.Edwin Williams - 1989 - Behavioral and Brain Sciences 12 (2):363-364.
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  • In defense of exaptation.Wendy Wilkins & Jennie Dumford - 1990 - Behavioral and Brain Sciences 13 (4):763-764.
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  • Why degree-0?Thomas Wasow - 1989 - Behavioral and Brain Sciences 12 (2):361-362.
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  • Observing obsolescence.Nigel Vincent - 1989 - Behavioral and Brain Sciences 12 (2):360-361.
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  • Why chimps matter to language origin.Ib Ulbaek - 1990 - Behavioral and Brain Sciences 13 (4):762-763.
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  • 文法能力の生得主義.Shun Tsugita - 2017 - Kagaku Tetsugaku 50:107-127.
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  • Social Inference May Guide Early Lexical Learning.Alayo Tripp, Naomi H. Feldman & William J. Idsardi - 2021 - Frontiers in Psychology 12.
    We incorporate social reasoning about groups of informants into a model of word learning, and show that the model accounts for infant looking behavior in tasks of both word learning and recognition. Simulation 1 models an experiment where 16-month-old infants saw familiar objects labeled either correctly or incorrectly, by either adults or audio talkers. Simulation 2 reinterprets puzzling data from the Switch task, an audiovisual habituation procedure wherein infants are tested on familiarized associations between novel objects and labels. Eight-month-olds outperform (...)
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  • Toward an adaptationist psycholinguistics.John Tooby & Leda Cosmides - 1990 - Behavioral and Brain Sciences 13 (4):760-762.
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  • Evolutionizing the cognitive sciences: A reply to Shapiro and Epstein.John Tooby & Leda Cosmides - 1998 - Mind and Language 13 (2):195-204.
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  • Grammar yes, generative grammar no.Michael Tomasello - 1990 - Behavioral and Brain Sciences 13 (4):759-760.
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  • The view of language.Michael Studdert-Kennedy - 1990 - Behavioral and Brain Sciences 13 (4):758-759.
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  • What every speaker cognizes.Stephen P. Stich - 1980 - Behavioral and Brain Sciences 3 (1):39-40.
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  • What's a trigger?Edward P. Stabler - 1989 - Behavioral and Brain Sciences 12 (2):358-360.
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  • The evolution of the language faculty: A paradox and its solution.Dan Sperber - 1990 - Behavioral and Brain Sciences 13 (4):756-758.
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  • Representation and psychological reality.Elliott Sober - 1980 - Behavioral and Brain Sciences 3 (1):38-39.
    In this brief space I want to describe how Chomsky's analysis of "psychological reality" departs from what I think is a fairly standard construal of the idea. This familiar formulation arises from distinguishing between someone's following a rule and someone's acting in conformity with a rule. The former idea, but not the latter, involves the idea that the person has some mental representation of the rule that plays a certain causal role in determining behavior. Although there may be many grammatical (...)
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  • Anatomizing the rhinoceros.Elliott Sober - 1990 - Behavioral and Brain Sciences 13 (4):764-765.
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  • Data on language input: Incomprehensible omission indeed!Catherine E. Snow & Michael Tomasello - 1989 - Behavioral and Brain Sciences 12 (2):357-358.
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  • A computer model of child language learning.Mallory Selfridge - 1986 - Artificial Intelligence 29 (2):171-216.
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  • Rules and causation.John R. Searle - 1980 - Behavioral and Brain Sciences 3 (1):37-38.
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  • Language acquisition: Dubious assumptions and a specious explanatory principle.I. M. Schlesinger - 1989 - Behavioral and Brain Sciences 12 (2):355-356.
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  • An artificial intelligence perspective on Chomsky's view of language.Roger C. Schank - 1980 - Behavioral and Brain Sciences 3 (1):35-37.
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  • Chomsky's evidence against Chomsky's theory.Geoffrey Sampson - 1980 - Behavioral and Brain Sciences 3 (1):34-35.
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