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Page 1622 of Linguistics and Language Behavior Abstracts: LLBA Vol. 27, Issue 3
[page]
1993
Linguistics and Language Behavior Abstracts: LLBA
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corpus example; 9307067
Concept Formation
concept content extraction, computer program use, German govern- ment work example; 9307065
concept formation, second-language acquisition role/instructional im ...
Hebrew morphological analysis, computer program AVGAD use; 9307017
Hebrew word formation/lexical innovation program Onomaturge de- scription; 9307055
human sentence processing model implementation, principles ...
Page 1566 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 3
[page]
1992
Linguistics and Language Behavior Abstracts: LLBA
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teaching, US literature survey; 9205338
Russian as a second language instruction, Uzbek students, 1991 sym- posium report, Fergana; 9205110
second-language acquisition research review, French as a second ...
lan- guage application; 9205440
second-language acquisition, holistic view, socio-genetic attitudes’ role; 9205491
second-language acquisition, neurolinguistic bimodality model evi- dence, eye movements ...
Four Problems Solved by the Probabilistic Language of Thought
2016
Current Directions in Psychological Science
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We argue for the advantages of the probabilistic language of thought (pLOT), a recently emerging approach to modeling human cognition. ...
approaches, (c) explains the origins of novel and complex computational concepts, and (d) provides a framework for abstraction that can link sensation and conception. ...
Acknowledgments We are extremely grateful to Jay McClelland and Jacob Feldman for providing detailed and insightful comments on this article. ...
doi:10.1177/0963721415609581
fatcat:rnoilgwblnagfh7d2scoikxhky
Computational Models of Language Acquisition
[chapter]
2010
Lecture Notes in Computer Science
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logical) grammar induction "It is time to remove the (artificial) boundaries and combine the research performed within each sub-field" (Adriaans and van Zaanen, 2006) COMPUTATIONAL MODELS OF LANGUAGE ...
) COMPUTATIONAL MODELS OF LANGUAGE ACQUISITION Computational models can shed light on language acquisition processes and provide insights into the nativist vs. emergentist debate Three related fields ...
models of language acquisition should focus on the easier task of learning language as a set of strings, leaving the induction of syntactic structures to future research
DESIDERATA MODEL Works that ...
doi:10.1007/978-3-642-12116-6_8
fatcat:yeyxymemrnhchlpngncalixo3y
Book reports
1994
Computers and Mathematics with Applications
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Integrating knowledge sources in language comprehension.
65. A constraint-motivated
lexical
acquisition
model. 66. Formulating the problem space computational
model. 67. ...
Natural language generation. 12. Natural language sentence analysis. 13. Nonmonotonic logic. 14. Novel methods in knowledge acquisition. 15. Plan generation. 16. Plan learning. 17. ...
Using "live information" in a multimedia framework. 14. A multilayered empirical approach to multimodality: Towards mixed solutions of natural language and graphical interfaces. 15. ...
doi:10.1016/0898-1221(94)90039-6
fatcat:cke4iogyhba4xmoz7aozrn23te
Quantum Metalanguage and The New Cognitive Synthesis
2019
NeuroQuantology
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The process of cognition within the framework of the concept of a quantum metalanguage involves the selection of adequate a priori existing (innate) programs (logical variables and rules for working with ...
Why are a priori inferences possible? Why can a human understand but a computer cannot? ...
It is this language that distinguishes people from computers. People, in addition to logical rules, have meta-logical rules. ...
doi:10.14704/nq.2019.17.1.1904
fatcat:olhbt7im2jf6rejs2zuoyuf4cq
A Bidirectional Relationship between Conceptual Organization and Word Learning
2013
Child Development Research
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In order to examine this model, we recruited 104 4-year olds from Head Start classrooms; 52 children participated in a two-week training program, and 52 children were in a control group. ...
We proposed a bidirectional model in which increases in word learning lead to increases in taxonomic organization, which, in turn, leads to further increases in word learning. ...
Many thanks are due to Ashley Pinkham for her helpful comments and to the children who participated in this research. ...
doi:10.1155/2013/298603
fatcat:5eoq3zpd3zdhthwyh5iuvxw35u
INDED: a distributed knowledge-based learning system
2000
IEEE Intelligent Systems and their Applications
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In our system INDED (induction-deduction, pronounced "indeed"), using the language of logic programming, we use a hypergraph to represent the knowledge base from which rules are mined. ...
Inductive logic programming. ...
Acknowledgments We thank the students of the Learning with Reason research group for their help. ...
doi:10.1109/5254.889105
fatcat:mwrutybuyrfcvi5bjihush4aay
Page 299 of Behavior Research Methods Vol. 15, Issue 2
[page]
1983
Behavior Research Methods
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Language acquisition through error recovery. Cog¬ nition and Brain Theory, 1982, S, 211-255. (a)
Langley, P. A model of early syntactic development. ...
A production system model for language processing. In P. Carpenter & M. Just (Eds.), Cognitive processes in comprehension. Hillsdale, N.J: Erlbaum, 1977.
Anzai, Y. Learning strategies by computer. ...
Page 1464 of Linguistics and Language Behavior Abstracts: LLBA Vol. 24, Issue 3
[page]
1990
Linguistics and Language Behavior Abstracts: LLBA
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development, semantic processing cognitive neuropsychological models use; 9007237
grammatical gender evolution, R. ...
A. No- lan’s/A. ...
First Language Acquisition: Psychological Considerations and Epistemology
2012
Theory and Practice in Language Studies
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In this article I mainly present a general overview of theoretical/epistemological and classical/modern accounts and approaches to the study of first language acquisition. ...
In other words, the present paper is to investigate the psychological/epistemological considerations of first language acquisition with the aim of shedding a bit of light on this human-species phenomenon ...
Neither logical analyses nor computational modeling alone will be conclusive in building a comprehensive theory of language acquisition unless supplemented by empirical research. ...
doi:10.4304/tpls.2.2.411-416
fatcat:4qtde4h725gobh2ysjhfhmnfma
Word learning and the acquisition of syntactic--semantic overhypotheses
[article]
2018
arXiv
pre-print
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We show that children applying such inductive biases are accurately reflecting the statistics of child-directed speech, and that inducing similar biases in our computational model captures children's behavior ...
Thus solving a more complex joint inference problem may make the full problem of language acquisition easier, not harder. ...
We modify this lexical induction process by using a probabilistic model to seed initial weights for these candidate interpretations. ...
arXiv:1805.04988v1
fatcat:4r2zxhjpsfdvpexbwq42xahvfa
One model for the learning of language
2022
Proceedings of the National Academy of Sciences of the United States of America
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Until recently, the computational requirements of language have been used to argue that learning is impossible without a highly constrained hypothesis space. ...
The model is able to successfully induce the latent system generating the observed strings from small amounts of evidence in almost all cases, including for regular (e.g., an, (ab)n, and {a,b}+), context-free ...
We are grateful to Yim Register, Frank Mollica, Sam Cheyette, Holly Palmeri, Josh Rule, András Kornai, and Ced Zhang for helpful comments and conversations about this work. ...
doi:10.1073/pnas.2021865119
pmid:35074868
pmcid:PMC8812683
fatcat:d5m6kumfe5cfff7w3q5nxdhuzu
Bootstrapping in a language of thought: A formal model of numerical concept learning
2012
Cognition
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We present a computational framework for understanding this inductive leap as the consequence of statistical inference over a sufficiently powerful representational system. ...
The model shows that bootstrapping can be made computationally and philosophically wellfounded as a theory of number learning. ...
, Justin Halberda, Liz Spelke, Irene Heim, Dave Barner, Barbara Sarnecka, Rebecca Saxe, Celeste Kidd, Leon Bergen, Eyal Dechter, Avril Kenney, an anonymous reviewer, and members of CoCoSci and TedLab for ...
doi:10.1016/j.cognition.2011.11.005
pmid:22284806
fatcat:vuyh75yvf5g2bpe35sfulqcmzy
Methodologies from Machine Learning in Data Analysis and Software
1991
Computer journal
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Computer-oriented techniques can now be used, however, in integration with established methods from classical statistics to generate rulestructured classifiers which not only make a better job of classifying ...
New developments in the computer induction of decision rules have contributed to two areas, multivariate data analysis and computer assisted software engineering. ...
INDUCTIVE PROGRAM GENERATION The work by A. D. ...
doi:10.1093/comjnl/34.6.559
fatcat:fw7usy456jcl3fq4th4p3fxgby
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