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Dive into the research topics where Stephan C. Meylan is active.

Publication


Featured researches published by Stephan C. Meylan.


Psychological Science | 2017

The Emergence of an Abstract Grammatical Category in Children’s Early Speech

Stephan C. Meylan; Michael C. Frank; Brandon Cain Roy; Roger Levy

How do children begin to use language to say things they have never heard before? The origins of linguistic productivity have been a subject of heated debate: Whereas generativist accounts posit that children’s early language reflects the presence of syntactic abstractions, constructivist approaches instead emphasize gradual generalization derived from frequently heard forms. In the present research, we developed a Bayesian statistical model that measures the degree of abstraction implicit in children’s early use of the determiners “a” and “the.” Our work revealed that many previously used corpora are too small to allow researchers to judge between these theoretical positions. However, several data sets, including the Speechome corpus—a new ultra-dense data set for one child—showed evidence of low initial levels of productivity and higher levels later in development. These findings are consistent with the hypothesis that children lack rich grammatical knowledge at the outset of language learning but rapidly begin to generalize on the basis of structural regularities in their input.


Cognition | 2013

Zipfian Frequency Distributions Facilitate Word Segmentation in Context.

Chigusa Kurumada; Stephan C. Meylan; Michael C. Frank


Cognitive Science | 2017

Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words.

Aida Nematzadeh; Stephan C. Meylan; Thomas L. Griffiths


Cognitive Science | 2014

The Divergent Lexicon: Lexical Overlap Decreases With Age in a Large Corpus of Conversational Speech

Stephan C. Meylan; Susanne Gahl


Cognitive Science | 2011

Zipfian word frequencies support statistical word segmentation

Chigusa Kurumada; Stephan C. Meylan; Michael C. Frank


Cognitive Science | 2013

Modeling the Development of Determiner Productivity in Children's Early Speech

Stephan C. Meylan; Michael C. Frank; Roger Levy


Cognitive Science | 2012

Modeling online word segmentation performance in structured artificial languages

Stephan C. Meylan; Chigusa Kurumada; Michael C. Frank; Benjamin Börschinger; Mark Johnson


arXiv: Computation and Language | 2017

Word forms - not just their lengths- are optimized for efficient communication.

Stephan C. Meylan; Thomas L. Griffiths


Cognitive Science | 2016

Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing.

Jordan W. Suchow; Thomas J. H. Morgan; Jessica B. Hamrick; Michael Pacer; Stephan C. Meylan; Thomas L. Griffiths


Cognitive Science | 2015

A Bayesian Framework for Learning Words From Multiword Utterances.

Stephan C. Meylan; Thomas L. Griffiths

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Roger Levy

University of California

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Brandon Cain Roy

Massachusetts Institute of Technology

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Jessica B. Hamrick

Massachusetts Institute of Technology

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Michael Pacer

University of California

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