18.3729, Calls: Text/Corpus Ling/Traitement Automatique des Langues (Jrnl)

LINGUIST Network linguist at LINGUISTLIST.ORG
Thu Dec 13 04:48:28 UTC 2007


LINGUIST List: Vol-18-3729. Wed Dec 12 2007. ISSN: 1068 - 4875.

Subject: 18.3729, Calls: Text/Corpus Ling/Traitement Automatique des Langues (Jrnl)

Moderators: Anthony Aristar, Eastern Michigan U <aristar at linguistlist.org>
            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>
 
Reviews: Randall Eggert, U of Utah  
         <reviews at linguistlist.org> 

Homepage: http://linguistlist.org/

The LINGUIST List is funded by Eastern Michigan University, 
and donations from subscribers and publishers.

Editor for this issue: Fatemeh Abdollahi <fatemeh at linguistlist.org>
================================================================  

As a matter of policy, LINGUIST discourages the use of abbreviations
or acronyms in conference announcements unless they are explained in
the text.

To post to LINGUIST, use our convenient web form at 
http://linguistlist.org/LL/posttolinguist.html. 


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

1)
Date: 11-Dec-2007
From: Laurent Romary < laurent.romary at mpdl.mpg.de >
Subject: Traitement Automatique des Langues

 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 12 Dec 2007 23:43:55
From: Laurent Romary [laurent.romary at mpdl.mpg.de]
Subject: Traitement Automatique des Langues
E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=18-3729.html&submissionid=163682&topicid=3&msgnumber=1  


Full Title: Traitement Automatique des Langues 


Linguistic Field(s): Computational Linguistics; Discourse Analysis; Lexicography; Linguistic Theories; Morphology; Phonology; Pragmatics; Semantics; Syntax; Text/Corpus Linguistics 

Call Deadline: 28-Jan-2008 

Platforms for Natural Language Processing
Special Issue of Traitement Automatique des Langues (TAL)
http://www.atala.org/

Because there is no agreed 'integrated' model of language processing,
researchers often produce ad hoc and application-specific solutions, while
NLP platforms help by bringing components together and making them
interoperable. Due to the complex nature of NLP applications -- and
language itself -- one needs to mix in the same process different models,
resources and algorithms, leading to important problems of interoperability
and data exchange.
 
1)   Architectural issues
Bringing together different modules raises many architectural and technical
questions, centered around interoperability and data exchange, such as:
-  interoperability between representation formats of corpora, linguistic
resources, documents and annotations; standardisation;
-  technical compatibility of heterogeneous algorithms and data:
portability, availability, maintainability, etc;
-  graphical user interfaces supporting computer scientists and/or
linguists to assemble sets of 'components' and to visualise and debug the
results of their application to corpora;
-  multimodality and multilinguism;
-  software execution models: pipeline, agent-based architectures,
distributed web services, etc; scalability (massive data, simultaneous
on-line users?);
 
2)   Methodological issues
The scientific approach which consists in projecting a certain linguistic
model - or a set of models -- on the same data or corpora also raises
interesting questions:
-   formalisation: which formalisms are appropriate for the various levels
of linguistic analysis? How can they be made interoperable? What should be
considered first: the expressivity of a formalism or the complexity of the
associated algorithms?
-   descriptive power: how can we ensure the declarative nature of NLP
processes, from linguistic rules to the specification of process chaining?
Is it possible to have a convergence of descriptive and prescriptive models?
-   repeatability: how to ensure that an experiment, based on complex
algorithms, can be reproduced? How to share and capitalize on operational
models and resources?
-   modularity: how to make a complex process independent of the choice of
a particular component for a particular task? Reuse and adaptation of
resources and components; support for multiple annotations;
-   evaluation of composite processes;
-   theoretical productivity: by bringing together different 'local'
models can we study new linguistic phenomena, at a higher complexity level?
 
Presentation of concrete experiments embedding NLP platforms into
application-oriented software systems (human-machine interfaces,
information retrieval and extraction, terminology/ontology constitution,
automated translation?) is warmly encouraged. Description of specific NLP
platforms is also welcome, and authors should then clearly explain the
underlying principles and hypotheses, in order to contribute to the general
discussion.
 
Language
Manuscripts may be submitted in English or French. French-speaking authors
are requested to submit in French.
 
Important Dates
- as soon as possible : send an email including the title, authors and a
ten line abstract, to tal-plateformes at info.unicaen.fr   (preferred but
optional)
- 28/01/2008 Deadline for submission
- 11/04/2008 Notification to authors
- 18/05/2008 Deadline for submission of revised version
- 09/06/2008 Final decision
- September 2008 Publication
 
Paper Submission
 
Contributions (25 pages maximum, PDF format) will be sent by e-mail at the
address below: tal-plateformes at info.unicaen.fr
Style sheets are available for download at http://tal.e-revues.com/appel.jsp
 
Guest Editors

Kalina Bontcheva (University of Sheffield, United Kingdom)
Patrice Enjalbert (University of Caen, France)
Benoît Habert (ENS LSH & ICAR, France)





-----------------------------------------------------------
LINGUIST List: Vol-18-3729	

	



More information about the LINGUIST mailing list