posted by user: grupocole || 2621 views || tracked by 6 users: [display]

PsychoCompLA 2009 : Psychocomputational Models of Human Language Acquisition

FacebookTwitterLinkedInGoogle

Link: http://www.colag.cs.hunter.cuny.edu/psychocomp/
 
When Jul 28, 2009 - Jul 29, 2009
Where Amsterdam, The Netherlands
Submission Deadline May 15, 2009
Categories    NLP   linguistics
 

Call For Papers

********** Call for Short Papers************


Psychocomputational Models of Human Language Acquisition
(PsychoCompLA-2009)

July 28th & 29th at CogSci 2009 - Amsterdam, Netherlands

Submission Deadline: May 15, 2009

http://www.colag.cs.hunter.cuny.edu/psychocomp/

Workshop Topic:

The workshop is devoted to psychologically-motivated computational
models of language acquisition. That is, models which are compatible with
research in psycholinguistics, developmental psychology and linguistics.

Invited Speakers:

* Tom Griffiths, University of California, Berkeley
* Amy Weinberg, University of Maryland (to be confirmed)

Workshop History:
This is the fifth 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), 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), PsychoCompLA-2007 held in Nashville, Tennessee as part of the 29th meeting of the Cognitive Science Society (CogSci-2007), and PsychoCompLA-2008 held in Washington D.C., as part of the 30th meeting of the Cognitive Science Society (CogSci-2008). Given the increasing interest, this year the workshop will be spread over two days directly before the main conference of the 31st meeting of the Cognitive Science Society (CogSci-2009) which begins on July 30th, 2009.


Workshop Description:

The 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.
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.


Topics and Goals:

Short papers 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 input;
* 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.


Workshop Organizers:
Rens Bod, University of Amsterdam (rens.bod at uva.nl)
William Gregory Sakas, City University of New York (sakas at
hunter.cuny.edu)
Workshop Co-Organizer:
Taylor Cassidy, City University of New York
(Pyshco.Comp@hunter.cuny.edu)

Submission details:

Authors are invited to submit short papers of (maximally) 2 pages of
narrative plus 2 pages for data, references and other supplementary materials.
Papers should be anonymous, clearly titled and the narrative section should
be no more than 1400 words in length. Either PDF, or MS Word formats are
acceptable. Please include a cover sheet (as a separate attachment) containing the title
of your submission, your name, contact details and affiliation. Send your
submission electronically to

Email: Psycho.Comp@hunter.cuny.edu.
with PsychoCompLA-2009 Submission somewhere in the subject line.

Publication:

The accepted papers will appear in the online workshop proceedings.
Full papers of accepted short papers will be considered in Fall 2009 for inclusion
in an issue of the new Cognitive Science Society Journal - topiCS - whose
focus will be psychocomputational modeling of human language acquisition.

Submission deadline: May 15, 2009

Contact: Psycho.Comp@hunter.cuny.edu
with PsychoCompLA-2009 somewhere in the subject line.

Related Resources

ACDL 2025   8th Advanced Course on Data Science & Machine Learning
IEEE Big Data - MMAI 2024   IEEE Big Data 2024 Workshop on Multimodal AI
Good-Data@AAAI 2025   AAAI 2025 Workshop on Preparing Good Data for Generative AI: Challenges and Approaches (Good-Data)
DEPLING 2023   International Conference on Dependency Linguistics
ICNLP 2025   IEEE--2025 7th International Conference on Natural Language Processing (ICNLP 2025)
SIGML 2025   6th International Conference on Signal Processing and Machine Learning
NB-REAL 2025   Nordic-Baltic Responsible Evaluation and Alignment of Language Models Workshop
LDK 2025   Fifth Conference on Language, Data and Knowledge
HUCAPP 2025   9th International Conference on Human Computer Interaction Theory and Applications
LLMHPSS 2025   Large Language Models for the History, Philosophy, and Sociology of Science