13.3422, Calls: Pattern Recognition, Journal of Universal Lang

LINGUIST List linguist at linguistlist.org
Tue Dec 24 04:25:03 UTC 2002


LINGUIST List:  Vol-13-3422. Mon Dec 23 2002. ISSN: 1068-4875.

Subject: 13.3422, Calls: Pattern Recognition, Journal of Universal Lang

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=================================Directory=================================

1)
Date:  Mon, 23 Dec 2002 16:44:37 +0000
From:  mvzaanen at science.uva.nl
Subject:  Grammatical Inference Techniques & Applications

2)
Date:  Mon, 23 Dec 2002 16:16:09 +0000
From:  jytak at sejong.ac.kr
Subject:  Journal of Universal Language

-------------------------------- Message 1 -------------------------------

Date:  Mon, 23 Dec 2002 16:44:37 +0000
From:  mvzaanen at science.uva.nl
Subject:  Grammatical Inference Techniques & Applications

Journal: Pattern Recognition	

Call Deadline: 03-Jan-2003 Special Issue on Grammatical Inference
Techniques & Applications

This Special Issue will be published in April, 2004 to commemorate and
honor the memory of Late Professor K. S. Fu. Grammatical Inference
(GI) is a collection of methodologies for learning grammars from
training data. The most traditional field of application of GI has
been syntactic pattern recognition.  In the recent past, however,
concerted efforts from diverse disciplines to find tractable inference
techniques have added new dimensions and opened up unchartered
territories.  Applications of GI in more nontraditional fields include
Gene Analysis, Sequence Prediction, Cryptography and Information
Retrieval.  Development of algorithms for GI has evolved over the
years from dealing with only positive training samples to more
fundamental efforts that try to circumvent the lack of negative
samples. This idea is pursued in stochastic grammars and languages
which attempt to overcome absence of negative samples by gathering
statistical information from available positive samples. Also within
the framework of information theory, probability estimation technique
for Hidden Markov Model known as Backward-Forward and for Context-Free
language, the Inside-Outside algorithm are focal point of
investigations in stochastic grammar field. Techniques that use
intelligent search to infer the rules of grammar are showing
considerable promise.  Recently, there has been a surge of activities
dealing with specialized neural network architecture and dedicated
learning algorithms to approach GI problems.  In more customary track,
research in learning classes of transducers continue to arouse
interests in GI community. Close interaction/collaboration between
different disciplines and availability of powerful computers are
fueling novel research efforts in GI.

The objective of the Special Issue is to present the current status of
this topic through the works of researchers in different disciplines.
Original and tutorial papers are solicited that address theoretical
and practical issues on this theme. Topics of interest include (but
are not limited to):

Theory:
Neural network framework and learning algorithms geared to GI
GI via heuristic and genetic search
Inference mechanisms for stochastic grammars/languages
Algebraic methods for identification of languages
Transduction learning

Applications:
Image processing and computer vision
Biosequence analysis and prediction
Speech and natural language processing
Data mining/information retrieval
Optical character recognition

Submission Procedure:

Only electronic (ftp) submission will be accepted. Instructions for
submission of papers can be found at the guest editor's web site
(http://www-ee.ccny.cuny.edu/basu ). All submitted papers will be
reviewed according to guidelines and standards of Pattern Recognition.

Deadlines:
Manuscript Submission: January 3, 2003
**** NEW DEADLINE ***
Notification of Acceptance: April 16, 2003
Final Manuscript Due: June 16, 2003
Publication Date: April 2004

Guest Editor:
Mitra Basu , The City College of CUNY, New York, U.S.A.
basu at ccny.cuny.edu


-------------------------------- Message 2 -------------------------------

Date:  Mon, 23 Dec 2002 16:16:09 +0000
From:  jytak at sejong.ac.kr
Subject:  Journal of Universal Language

Journal of Universal Language	


Call Deadline: 15-Mar-2003 The Journal of Universal Language calls for
papers for the JUL 4:1, which will be published in March, 2003.


Honorarium:

As a token of our gratitude, the authors whose paper will appear in
the Journal of Universal Language will be given the $1,000 honorarium
(which is subject to taxation ).


Topic Areas:

The Journal of Universal Language is concerned with various areas of
artificial language, universality in language, and language typology.
The editors encourage the submission of papers on proposed themes as
well as on other topics relevant to the interest of the Journal of
Universal Language.  Each volume contains two issues, published in
March and September. The language of publication is English.


Format:
1. The length of a manuscript should not exceed 25 pages.
2. A 200-word abstract should be given at the beginning of each
manuscript.
3. Manuscripts should be submitted on A4 paper, with the margins at
least 4cm on all four sides of each sheet.  They may be single-spaced
and/or double-sided, if desired.


Important Dates:
No Submission deadline: We accept manuscripts throughout the year.
Notification of acceptance: February 15, 2003 Submission of
camera-ready papers: March 15, 2003


Submissions:

1. Electronic submissions are acceptable.  Acceptable file formats are
Portable Document Format (.pdf) and MS Word (.doc).  Please send your
file in an attachment to jytak at sejong.ac.kr.

2. For hard copy submissions, please send 3 copies, accompanied by a
cover letter which includes the author's name, affiliation, address,
and home or office phone number, to:

Jin-young Tak, Editor
Department of English Language/Literature, Sejong University
Dasan-gwan 435 Gunja-dong, Gwangjin-gu, Seoul, Korea
e-mail:jytak at sejong.ac.kr


For more information: http://www.unish.org/

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