28.2064, Calls: Comp Ling, Gen Ling, Ling Theories, Psycholing, Typology/Australia

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Wed May 3 16:36:43 UTC 2017


LINGUIST List: Vol-28-2064. Wed May 03 2017. ISSN: 1069 - 4875.

Subject: 28.2064, Calls: Comp Ling, Gen Ling, Ling Theories, Psycholing, Typology/Australia

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Date: Wed, 03 May 2017 12:36:30
From: M. Dolores Jimenez-Lopez [mariadolores.jimenez at urv.cat]
Subject: Workshop on Computational Methods for Measuring Language Complexity

 
Full Title: Workshop on Computational Methods for Measuring Language Complexity 
Short Title: COMLACO 2017 

Date: 19-Aug-2017 - 25-Aug-2017
Location: Melbourne, Australia 
Contact Person: M. Dolores Jiménez-López
Meeting Email: mariadolores.jimenez at urv.cat
Web Site: https://comlaco.wordpress.com/ 

Linguistic Field(s): Computational Linguistics; General Linguistics; Linguistic Theories; Psycholinguistics; Typology 

Call Deadline: 15-May-2017 

Meeting Description:

Workshop held in conjunction with IJCAL-2017: International Joint Conference
on Artificial Intelligence http://ijcai-17.org/

This workshop focuses on natural language complexity. Complexity has become an
important concept in several scientific disciplines. There has been a lot of
research on complexity and complex systems in the natural sciences, economics,
social sciences and, now, also increasingly in linguistics. Are all languages
equally complex? Does it make sense to compare the complexity of languages?
Can languages differ in complexity?  Complexity is a controversial concept in
linguistics. Until recently, natural language complexity has not been widely
researched and still not clear how complexity has to be defined and measured.
Twentieth century most theoretical linguists have defended the equi-complexity
dogma, which states that the total complexity of a natural language is fixed
because sub-complexities in linguistic sub-systems trade off. This idea of
equi-complexity, seen for decades as an unquestioned truism of linguistics,
has begun to be explicitly questioned in recent years. There have been
attempts to apply the concept of complexity used in other disciplines in order
to find useful tools to calculate linguistic complexity. Information theory,
computational models or the theory of complex systems are examples of areas
that provide measures to quantitatively evaluate linguistic complexity.

Many models have been proposed to confirm or refute the hypothesis of
linguistic equi-complexity. The tools, criteria and measures to quantify the
level of complexity of languages vary and depend on the specific research
interests and on the definition of complexity adopted. In fact, there is no
agreement in the literature about how to define complexity. Instead, in the
literature, we can find a variety of approaches that has led to linguistic
complexity taxonomy: absolute complexity vs. relative complexity; global
complexity vs. local complexity; system complexity vs. structural complexity,
etc. Currently, there is no clear solution to quantify the complexity of
languages and each of the proposed models has advantages and disadvantages. 

Linguistic complexity is also a key point in automatic natural language
processing. Therefore, we propose a cross-discipline workshop that foster
exchange of ideas between people in the area of artificial intelligence and
natural language processing and people dealing with natural language
complexity from a cognitive or a theoretical point of view. The main objective
of this workshop is to bring together researchers from different areas that
have in common their interest on linguistic complexity boosting the
interchange of knowledge and methods between specialists that have approached
complexity from different viewpoints.  We want to promote interdisciplinarity
among researchers that are dealing with any type of language complexity.


2nd Call for Papers:

We are interested in contributions introducing new methods, models,
definitions and measures to assess natural languages complexity. We are
especially interested in computational and formal approaches to linguistic
complexity.

Topics include (but are not limited to):

- Complexity in human natural language processing
- Complexity in automatic natural language processing
- Formal tools for measuring linguistic complexity
- Natural language processing tools for measuring linguistic complexity
- Machine learning tools for measuring linguistic complexity
- Information theory measures of linguistic complexity
- Complex systems theory measures for linguistic complexity
- Typological approaches to linguistic complexity
- Psycholinguistic approaches to linguistic complexity
- Cognitive approaches to linguistic complexity

Submissions:

We invite submissions including original research contributions, applications,
surveys, state-of-the-art papers, position papers and work in progress papers.

Submitted papers must be formatted according to IJCAI guidelines
(http://ijcai-17.org/MainTrackCFP.html)

Papers must be no longer than 7 pages.

All proposed papers must be submitted in electronic form (PDF format) through
EasyChair (https://easychair.org/conferences/?conf=comlaco2017)




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