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LINGUIST List 18.696

Tue Mar 06 2007

Calls: Comp Ling,Text/Corpus Ling/Germany

Editor for this issue: Ania Kubisz <anialinguistlist.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.
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        1.    Thomas Hanneforth, 6th International Workshop on Finite-State Methods and Natural Language Processing


Message 1: 6th International Workshop on Finite-State Methods and Natural Language Processing
Date: 06-Mar-2007
From: Thomas Hanneforth <tomling.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: fsmnlp2007ling.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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