[Corpora-List] CFP: PsychoCompLA-2007
pcomp at hunter.cuny.edu
pcomp at hunter.cuny.edu
Fri Apr 6 05:17:00 CEST 2007
************* Call for Papers **************
Psychocomputational Models of Human Language Acquisition
August 1st at CogSci 2007 - Nashville, Tennessee
Submission Deadline: May 22, 2007
The workshop is devoted to psychologically-motivated computational models of language acquisition. That is, models that are compatible with research in psycholinguistics, developmental psychology and linguistics.
* Elissa Newport, University of Rochester
* Shimon Edelman, Cornell University
* Damir Cavar, University of Zadar, University of Indiana
* Robert Frank, Johns Hopkins University
* Terry Regier, University of Chicago
* Alex Clark, Royal Holloway University of London
* Charles Yang, University of Pennsylvania
This workshop will present research and foster discussion centered around psychologically-motivated computational models of language acquisition, with an emphasis on the acquisition of syntax. In recent decades there has been a thriving research agenda that applies computational learning techniques to emerging natural language technologies and many meetings, conferences and workshops in which to present such research. However, there have been only a few (but growing number of) venues in which psychocomputational models of how humans acquire their native language(s) are the primary focus.
By psychocomputational models we mean models that are compatible with, or might inform research in psycholinguistics, developmental psychology or linguistics.
Psychocomputational models of language acquisition are of particular interest in light of recent results in developmental psychology that suggest that very young infants are adept at detecting statistical patterns in an audible input stream. Though, how children might plausibly apply statistical 'machinery' to the task of grammar acquisition, with or without an innate language component, remains an open and important
question. One effective line of investigation is to
computationally model the acquisition process and determine interrelationships between a model and linguistic or psycholinguistic theory, and/or correlations between a model's performance and data from linguistic environments that children are exposed to.
Although there has been a significant amount of presented research targeted at modeling the acquisition of word categories, morphology and phonology, research aimed at modeling syntax acquisition has just begun to emerge.
This is the third meeting of the Psychocomputational Models of Human Language Acquisition workshop following PsychoCompLA-2004, held in Geneva, Switzerland as part of the 20th International Conference on Computational Linguistics (COLING
2004) and PsychoCompLA-2005 as part of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL-2005) held in Ann Arbor, Michigan where the workshop shared a joint session with the Ninth Conference on Computational Natural Language Learning (CoNLL-2005).
William Gregory Sakas, City University of New York
(sakas at hunter.cuny.edu)
David Guy Brizan, City University of New York
(dbrizan at gc.cuny.edu)
Authors are invited to submit abstracts of 1 page plus 1 page for data and other supplementary materials. Abstracts should be anonymous, clearly titled and no more than 500 words in length. Text of the abstract should fit on one page, with a second page for examples, table, figures, references, etc. The following
formats are accepted: PDF, PS, and MS Word. Please include a cover sheet (as a separate attachment) containing the title of your submission, your name, contact details and affiliation. Please send your submission electronically to Psycho.Comp at hunter.cuny.edu. The accepted abstracts will appear in the online workshop proceedings. Full papers will be considered for a submission for a special issue of a Cognitive Science Society Journal in the fall.
Submission deadline: May 22, 2007
Topics and Goals:
Abstracts that present research on (but not necessarily limited to) the following topics are welcome:
* Models that address the acquisition of word-order;
* Models that combine parsing and learning;
* Formal learning-theoretic and grammar induction models that incorporate psychologically plausible constraints;
* Comparative surveys that critique previously reported studies;
* Models that have a cross-linguistic or bilingual perspective;
* Models that address learning bias in terms of innate
linguistic knowledge versus statistical regularity in the
* Models that employ language modeling techniques from corpus linguistics;
* Models that employ techniques from machine learning;
* Models of language change and its effect on language
acquisition or vice versa;
* Models that employ statistical/probabilistic grammars;
* Computational models that can be used to evaluate existing linguistic or developmental theories (e.g., principles & parameters, optimality theory, construction grammar, etc.)
* Empirical models that make use of child-directed corpora such as CHILDES.
This workshop intends to bring together researchers from cognitive psychology, computational linguistics, other computer/mathematical sciences, linguistics and
psycholinguistics working on all areas of language acquisition. Diversity and cross-fertilization of ideas is the central goal.
Contact: Psycho.Comp at hunter.cuny.edu
FYI, Related 2007 Meetings
Machine Learning and Cognitive Science of Language Acquisition
21-22 June, 2007
Cognitive Aspects of Computational Language Acquisition
29 June, 2007
Exemplar-Based Models of Language Acquisition and Use
6-17 August, 2007
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