18.696, Calls: Comp Ling,Text/Corpus Ling/Germany

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LINGUIST List: Vol-18-696. Tue Mar 06 2007. ISSN: 1068 - 4875.

Subject: 18.696, Calls: Comp Ling,Text/Corpus Ling/Germany

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1)
Date: 06-Mar-2007
From: Thomas Hanneforth < tom at ling.uni-potsdam.de >
Subject: 6th International Workshop on Finite-State Methods and Natural Language Processing 

	
-------------------------Message 1 ---------------------------------- 
Date: Tue, 06 Mar 2007 12:12:02
From: Thomas Hanneforth < tom at ling.uni-potsdam.de >
Subject: 6th International Workshop on Finite-State Methods and Natural Language Processing 
 

Full Title: 6th International Workshop on Finite-State Methods and Natural
Language Processing 

Date: 14-Sep-2007 - 16-Sep-2007
Location: University of Potsdam, Germany 
Contact Person: Thomas Hanneforth
Meeting Email: fsmnlp2007 at ling.uni-potsdam.de
Web Site: http://www.ling.uni-potsdam.de/fsmnlp2007/ 

Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 03-Jun-2007 

Meeting Description:

Finite-State Methods and Natural Language Processing 2007
The Sixth International Workshop 

Finite-State Methods and Natural Language Processing 2007
The Sixth International Workshop

The aim of the FSMNLP 2007 is to bring together members of the academic,
research, and industrial community working on finite-state based models in
language technology, computational linguistics, linguistics and cognitive
science or on related theory or methods in fields such as computer science and
mathematics. The workshop will be a forum for researchers working

    - on NLP applications,
    - on the theoretical and implementation aspects, or
    - on their combination. 

We invite novel high-quality papers that are related to the themes including but
not limited to: 
1. NLP applications and linguistic aspects of finite-state methods 
2. Finite-state models of language  
3. Practices for building lexical transducers for the world's languages.
4. Specification and implementation of sets, relations and multiplicities in NLP
using finite automata  
5. Constraint-based grammars and k-ary regular relations  
6. Machine learning of finite-state models of natural language  
7. Finite-state manipulation software (with relevance to the above themes)  

The descriptions of the topics above are not meant to be complete, and should
extend to cover all traditional FSMNLP topics. Submitted papers or abstracts may
fall in several categories.





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LINGUIST List: Vol-18-696