31.2245, Calls: Comp Ling, Hist Ling, Lang Doc/Germany

[The LINGUIST List]

LINGUIST List: Vol-31-2245. Fri Jul 10 2020. ISSN: 1069 - 4875.

Subject: 31.2245, Calls: Comp Ling, Hist Ling, Lang Doc/Germany

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Date: Fri, 10 Jul 2020 11:43:11
From: Gerhard Jaeger [gerhard.jaeger at uni-tuebingen.de]
Subject: Model and Evidence in Quantitative Comparative Linguistics

 
Full Title: Model and Evidence in Quantitative Comparative Linguistics 
Short Title: MaEiQCL 

Date: 24-Feb-2021 - 26-Feb-2021
Location: Freiburg, Germany 
Contact Person: Gerhard Jaeger
Meeting Email: gerhard.jaeger at uni-tuebingen.de
Web Site: https://www.sfs.uni-tuebingen.de/~gjaeger/maeiqcl21/ 

Linguistic Field(s): Computational Linguistics; Historical Linguistics; Language Documentation 

Call Deadline: 31-Aug-2020 

Meeting Description:

Workshop organizers: Gerhard Jäger (Tübingen), Johann-Mattis List (Jena)

Small workshop as part of the DGfS Annual Meeting

Description:
The emergence of data science has inspired a surge in interest in the
application of quantitative and computational methods in comparative
linguistics in the broad sense. By this we mean any kind of research studying
features of several natural languages in parallel. High profile results touch
upon three major topics:

- the study of deep history, both regarding reconstruction of past language
stages and language change processes and of population history in general,
- statistical investigations of typological questions regarding, e.g., the
(non-)universality of feature correlations,
- probing for - possibly causal - connections between linguistic properties
and extra-linguistic variables such as language community size, climate, or
diet.

These results are often met with a healthy skepticism within the linguistic
community. It is tempting to discount the criticisms leveled against
quantitative comparative linguistics — such as the insistence by practitioners
of classical historical linguistics that historical linguistics must be based
on the identification of sound laws — as inevitable side effects of a paradigm
shift. However, computational and statistically minded comparativists do not
agree among themselves regarding the standards of data quality, model
validation, and model comparison. For instance, the debate in a recent issue
of Theoretical Linguistics revealed that there is no consensus about some very
profound issues pertaining the the nature and purpose of statistical models in
computational historical linguistics. The open peer reviews on Dunn et al.
(2011, Nature) in Linguistic Typology 15(2), 2011 revealed a similar demand
for debate in typology which has not been conclusively settled so far.

The purpose of the workshop is to provide a forum for this methodological
discussion. It will focus on:
- approaches to model validation and model comparison in statistical work on
comparative linguistics,
- standards for data formats, data accessibility, and data sharing, and
- best practices for code sharing and code accessibility within an open
science framework.

Travel grants: Please note that a limited number of travel grants will be
available upon request.


Call for Papers: 

We invite submissions for 20-minute oral presentations (+ 10 minutes
discussion) in English. We are equally interested in contributions relating to
data management and to data modeling. Abstracts should be anonymously
submitted to https://easychair.org/conferences/?conf=maeiqcl21.

Abstracts should be at most one page long, plus references on the second page,
on A4 paper with 2.5cm margins on all sides, and must be set in Times New
Roman font of at least 11 points. The deadline for submission is 31 August
2020; notification date is 15 September 2020.




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