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1
Phylogenetic models of language change: three new questions
In: https://mitpress.mit.edu/books/cultural-evolution (2014)
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In: http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00407/pdf/ (2014)
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Phylogenetic models of language change: three new questions
In: https://mitpress.mit.edu/books/cultural-evolution (2014)
Abstract: Computational methods derived from evolutionary biology are increasingly being applied to the study of cultural evolution. This is particularly the case in studies of language evolution, where phylogenetic methods have recently been used to test hypotheses about divergence dates, rates of lexical change, borrowing, and putative language universals. This chapter outlines three new and related questions that could be productively tackled with computational phylogenetic methods: What drives language diversifi cation? What drives differences in the rate of linguistic change (disparity)? Can we identify cultural and linguistic homelands?
Keyword: language; models; phylogenetic
URL: http://hdl.handle.net/1885/11537
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Edited by:
In: http://oro.open.ac.uk/37584/1/fpsyg-04-00255.pdf (2013)
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Similar neural correlates for language and sequential learning: Evidence from event-related brain potentials
In: http://cnl.psych.cornell.edu/pubs/2012-cco-LCP.pdf (2012)
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6
The arbitrariness of the sign: Learning advantages from the structure of the vocabulary
In: http://cnl.psych.cornell.edu/pubs/2011-mcf-JEPG.pdf (2011)
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7
Learning recursion: multiple nested and crossed dependencies
In: http://cnl.psych.cornell.edu/pubs/2011-dcp-bioling.pdf (2011)
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Edited by:
In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/37/76/Front_Psychol_2010_Dec_31_1_227.tar.gz (2010)
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9
Plural Publishing, Inc. CHAPTER 2 Explaining Developmental Communication Disorders
In: http://cnl.psych.cornell.edu/pubs/2009-tc-dev-com-disorders.pdf (2010)
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10
When ‘more’ in statistical learning means ‘less’ in language: individual differences in predictive processing of adjacent dependencies
In: http://cnl.psych.cornell.edu/pubs/2010-mc-cogsci.pdf (2010)
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11
Language acquisition meets language evolution
In: http://cnl.psych.cornell.edu/pubs/2010-cc-CogSci.pdf (2010)
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12
A solution to the logical problem of language evolution: Language as an adaptation to the human brain
In: http://cnl.psych.cornell.edu/pubs/2012-cc-EvoLang-Hbk.pdf (2010)
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13
AND
In: http://cnl.psych.cornell.edu/pubs/2010-mc-JCL.pdf (2009)
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14
Lexical categories at the edge of the word
In: http://www2.hawaii.edu/~lucao/papers/OnnisChristiansen2008.pdf (2008)
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15
Language as shaped by the brain
In: http://cnl.psych.cornell.edu/pubs/2008-cc-BBS.pdf (2008)
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16
AND
In: http://cnl.psych.cornell.edu/pubs/2009-fcm-JCL.pdf (2007)
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17
1Variability is an important ingredient in learning
In: http://bcl.wjh.harvard.edu/images/uploaded/File/Onnisetal-variability.pdf (2006)
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18
The Baldwin effect works for functional, but not arbitrary, features of language
In: http://www3.isrl.uiuc.edu/~junwang4/langev/localcopy/pdf/Christiansen06BaldwinEffect.pdf (2006)
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19
The Baldwin effect works for functional, but not arbitrary, features of language
In: http://www.dectech.co.uk/publications/LinksNick/Language/The Baldwin effect works for functional, but not arbitary, f.pdf (2006)
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20
The Baldwin effect works for functional, but not arbitrary, features of language
In: http://cnl.psych.cornell.edu/pubs/2006-crc-EvoLang.pdf (2006)
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