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Similar neural correlates for language and sequential learning: Evidence from event-related brain potentials
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In: http://cnl.psych.cornell.edu/pubs/2012-cco-LCP.pdf (2012)
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| 2 |
Toward a New Scientific Visualization for the Language Sciences
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In: Information ; Volume 3 ; Issue 1 ; Pages 124-150 (2012)
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An empirical generative framework for computational modeling of language acquisition
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In: http://www.wisdom.weizmann.ac.il/%7Eedelman/Waterfall-Sandbank-Onnis-Edelman-JCL10.pdf (2010)
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| 4 |
Lexical categories at the edge of the word
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In: http://www2.hawaii.edu/~lucao/papers/OnnisChristiansen2008.pdf (2008)
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Abstract:
Language acquisition may be one of the most difficult tasks that children face during development. They have to segment words from fluent speech, figure out the meanings of these words, and discover the syntactic constraints for joining them together into meaningful sentences. Over the past couple of decades, computational modeling has emerged as a new paradigm for gaining insights into the mechanisms by which children may accomplish these feats. Unfortunately, many of these models assume a computational complexity and linguistic knowledge likely to be beyond the abilities of developing young children. This article shows that, using simple statistical procedures, significant correlations exist between the beginnings and endings of a word and its lexical category in English, Dutch, French, and Japanese. Therefore, phonetic information can contribute to individuating higher level structural properties of these languages. This article also presents a simple 2-layer connectionist
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Keyword:
Computational models; Language acquisi- tion; Lexical categories; Phonological bootstrapping
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URL: http://www2.hawaii.edu/~lucao/papers/OnnisChristiansen2008.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.500.7972
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| 5 |
1Variability is an important ingredient in learning
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In: http://bcl.wjh.harvard.edu/images/uploaded/File/Onnisetal-variability.pdf (2006)
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| 6 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1678.pdf (2005)
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| 7 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
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In: http://www.psych.unito.it/csc/cogsci05/frame/talk/p807-onnis.pdf (2005)
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| 8 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
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In: http://cnl.psych.cornell.edu/pubs/2005-oc-CogSci.pdf (2005)
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| 9 |
Corresponding author:
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In: http://www.cstr.ed.ac.uk/downloads/publications/2005/jml.pdf (2005)
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| 10 |
Variability is the spice of learning, and a crucial ingredient for detecting and generalizing in nonadjacent dependencies
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In: http://cnl.psych.cornell.edu/pubs/2004-OMCC-cogsci.pdf (2004)
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| 11 |
Reduction of uncertainty in human sequential learning: evidence from artificial language learning
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In: http://www.dectech.co.uk/publications/LinksNick/Language/Reduction of Uncertainty in Human Sequential Learning Eviden.pdf (2003)
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| 12 |
Using Phoneme Distributions to Discover Words and Lexical Categories in Unsegmented Speech
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In: http://cnl.psych.cornell.edu/pubs/2006-cho-cogsci.pdf
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| 13 |
lexical categories
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In: http://cnl.psych.cornell.edu/pubs/2009-coh-Dev-Science.pdf
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| 14 |
1 Language-induced Biases on Human Sequential Learning
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In: http://mindmodeling.org/cogsci2012/papers/0150/paper0150.pdf
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| 15 |
1 Acquisition and Evolution of Natural Language 134 Acquisition and Evolution of quasi-regular languages: Two puzzles for the price of one. Abstract
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In: http://cnl.psych.cornell.edu/papers/Roberts_Onnis_Chater.pdf
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| 16 |
References words: 843 Total words: 1,949 The Bottleneck May Be the Solution, Not the Problem
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In: http://kybele.psych.cornell.edu/%7Eedelman/Archive/Lotem-et-al-on-Christiansen-and-Chater-resubmitted.pdf
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Variation Sets Facilitate Artificial Language Learning
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In: http://www.wisdom.weizmann.ac.il/~edelman/OnnisWaterfallEdelman-variation-sets-CogSci08.pdf
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| 18 |
Variation Sets Facilitate Artificial Language Learning
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1011.pdf
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