[Corpora-List] Extended Deadline ROLC special issue on Computational Models of First Language Acquisition

[Fatemeh Torabi Asr]

Hi,

  Regarding the following post, deadline for paper submission to the special
issue on Computational Models of First Language Acquisition is extended to
December 15, 2009.
But on your website (
http://www.springer.com/linguistics/computational+linguistics/journal/11168)
it is announced January 15, 2009!
  Is it extended from about one year ago to now, or the date on the website
is a typo? Or as I guess the correct submission due is extended to January
15, 2010?

Regards,
Fatemeh Torabi Asr



>
> ---------- Forwarded message ----------
> From: <pcomp at hunter.cuny.edu>
> Date: Mon, Nov 16, 2009 at 3:36 PM
> Subject: [Corpora-List] Extended Deadline ROLC special issue on
> Computational Models of First Language Acquisition
> To: CORPORA at uib.no
> Cc: wmsakas at gmail.com, rens.bod at gmail.com
>
>
> **************** Extended deadline: December 15, 2009
> *****************
>
> Computational Models of First Language Acquisition
> Special Issue of Research on Language and Computation
>
> Call for Papers
>
> The journal Research on Language and Computation invites submission of
> papers
> for a special issue on Computational Models of Language Acquisition.
>
> Computational Models of First Language Acquisition
> Special Issue of Research on Language and Computation
>
> Editors
>
> Alexander Clark, Department of Computer Science, Royal Holloway,
> University of London
>
> William Gregory Sakas, Hunter College and The Graduate Center,
> City University of New York
>
> Important dates
>
> Submission of full papers: December 15, 2009
> Notifications of decision: February 31, 2010
> Revised versions due: May 1, 2010
> Second review: July 1, 2010
> Final versions: September 1, 2010
> Publication: Late 2010
>
> Background
>
> Language acquisition has for a long time stood as one of the most
> fundamental,
> beguiling, and surprisingly open questions of modern science.  Recent
> advances in
> natural language processing, statistical parsing and machine learning,
> together
> with the availability of large corpora of child directed speech and other
> corpora,
> make a wide range of computationally-oriented approaches to the study of
> this
> problem available. In this special issue, we will provide a forum for the
> full
> range
> of current approaches to this important field.
>
> 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, through simulation,
> mathematically, the statistical analysis of corpora, etc., 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
>
> We aim to publish papers that describe state of the art techniques in
> computational models of language acquisition. These should be
> computationally
> explicit but not necessarily implemented and these could be evaluated
> empirically, theoretically or on the basis of a detailed case study.
> This special issue should provide an interdisciplinary forum where
> researchers in
> theoretical linguistics, psycholinguistics, natural language processing,
> grammatical
> inference, machine learning and cognitive science can present research on
> the
> computational modelling of first language acquisition.
>
> We welcome papers from any of the current models of linguistic theorising:
> standard and enriched context free models, Principles and Parameters
> models,
> Optimiality theory and reseachers working within the Minimalist Program,
> and
> other approaches.
>
> Topics include but are not limited to:
>
> * Models that address the acquisition of word-order;
> * Models that combine parsing and learning
> * Formal learning-theoretic and grammar induction models that use
>   psychologically plausible models of the information available to the
> learner
> * Comparative surveys that critique previously reported studies
> *  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,
>   or indeed adult corpora as contrasted with child-directed corpora
>
> Instructions
>
> Submissions should be made online using Springer's Editorial Manager
> System,
> available at  http://www.editorialmanager.com/rolc
>
> Length
>    12,000 words (approximately 30 pages) for a standard submission
>    4,000 words (approximately 10 pages) for a brief report
>
> Further information
>
> Please contact Alexander Clark (alexc @ cs.rhul.ac.uk) or William Sakas
> (sakas at hunter.cuny.edu) with any further questions.
>
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>
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>
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