29.242, Calls: Computational Linguistics, Historical Linguistics / Computational Linguistics (Jrnl)

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LINGUIST List: Vol-29-242. Tue Jan 16 2018. ISSN: 1069 - 4875.

Subject: 29.242, Calls: Computational Linguistics, Historical Linguistics / Computational Linguistics (Jrnl)

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Date: Tue, 16 Jan 2018 11:25:16
From: Gerhard Jaeger [gerhard.jaeger at uni-tuebingen.de]
Subject: Computational Linguistics, Historical Linguistics / Computational Linguistics (Jrnl)

 
Full Title: Computational Linguistics 


Linguistic Field(s): Computational Linguistics; Historical Linguistics 

Call Deadline: 15-Jul-2018 

Call for Papers:
special issue of the journal Computational linguistics on:
''Computational approaches in historical linguistics after the quantitative
turn''
Deadline: July 15, 2018

Guest editors:
Taraka Rama - University of Oslo <tarakark at ifi.uio.no>
Simon J. Greenhill - Max Planck Institute for the Science of Human History
<greenhill at shh.mpg.de>
Harald Hammarström - Upsala University <harald.hammarstrom at lingfil.uu.se>
Gerhard Jäger - Eberhard Karls University Tübingen
<gerhard.jaeger at uni-tuebingen.de>
Johann-Mattis List - Max Planck Institute for the Science of Human History
<mattis.list at shh.mpg.de>

Computational approaches play an increasingly important role in historical
linguistics and typology. During the last two decades, scholars have made
significant advances in automatizing and formalizing specific aspects of the
workflow of the classic comparative method. Among these are novel techniques
for phonetic alignment (Prokić et al. 2009, List 2014), the detection of
cognate words (Kondrak 2009, Rama 2016, List et al. 2017, Jäger et al. 2017),
and improved methods for phylogenetic reconstruction (Chang et al. 2015,
Bouckaert et al. 2012), complemented by numerous pioneering approaches
investigating specific aspects of language change, such as geographic
diffusion (Prokić and Cysouw 2013), semantic shift (Dellert 2016) and regular
sound change (Hruschka et al. 2015, Bouchard-Côté et al. 2013), and even fully
automated work flows for largescale language comparison have been proposed
(Brown et al. 2008, Jäger 2015, Rama and Borin 2015). On the other hand,
availability of typological databases such as WALS has allowed scholars to
investigate specific hypotheses regarding evolution of grammar and lexicon
(Greenhill et al. 2017), the interaction of typological features (Hammarström
and O'Connor 2013), and the areal distribution of linguistic structures (Daume
III 2009, Chang and Michael 2014).

Despite the growing interest in automated approaches to historical
linguistics, it is obvious that automatic approaches are still far away from
being able to replace human experts, and the majority of approaches still
makes broad use of manually annotated datasets. More than two decades after
the quantitative turn in historical linguistics, we think it is time to
reconsider how computational approaches in historical linguistics can be
further improved, and where their current limits can be found.
Further details can be found at
http://calc.digling.org/resources/call-si-cl.pdf

Paper format and reviewing policy:
Papers should be formatted according to the Computational Linguistics style
(http://cljournal.org/) and submitted using the online submission system
(http://cljournal.org/submissions.html). In Step 1 of the submission process,
please select ''Special Issue: Computational historical linguistics'' under
the ''Journal Section'' heading. Please note that papers submitted to a
special issue undergo the same reviewing process as regular papers. Special
issues are the same length as regular issues (at most 56 papers, see
http://cljournal.org/specialissues.html for more information).
Deadline: Paper submission deadline: July 15, 2018 (23:59 PST)

Contact: calc at digling.org




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