34.748, Calls: Computational Linguistics, Morphology, Text/Corpus Linguistics, Typology / Journal of Language Modelling (Jrnl)

[The LINGUIST List]

LINGUIST List: Vol-34-748. Fri Mar 03 2023. ISSN: 1069 - 4875.

Subject: 34.748, Calls: Computational Linguistics, Morphology, Text/Corpus Linguistics, Typology / Journal of Language Modelling (Jrnl)

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================================================================


Date: 
From: Sacha Beniamine [s.beniamine at surrey.ac.uk]
Subject: Computational Linguistics, Morphology, Text/Corpus Linguistics, Typology / Journal of Language Modelling (Jrnl)


Call for Papers:

We are further extending the deadline for this call to the 31st of
March. Please find below the updated call:

-------------

We invite researchers in the broad area of computational morphology to
submit their recent, unpublished work to a special issue of the
Journal of Language Modelling
<https://jlm.ipipan.waw.pl/index.php/JLM>.

Motivation:

Computational techniques have a long history of use in the study of
morphology, where they have been used both for practical tasks such as
the analysis and production of complex word forms and for theoretical
ones such as structural and informational analysis of morphological
systems. As both systems and datasets improve, these techniques are
increasingly developed and evaluated on a typologically diverse array
of languages, including many which are endangered or lack large-scale
resources. Detailed comparisons across languages can help to reveal
typological biases or assumptions within existing computational
techniques [1, 2]. Alternatively, computational methods and analyses
can also shed light on questions within linguistic typology [3, 4, 5,
6].

The goal of this special issue is to bring researchers from multiple
communities together in exploring issues of linguistic typology across
a wide range of different languages and phenomena. We encourage the
submission of work on endangered or less-studied languages.
The Journal of Language Modelling is a free (for readers and authors
alike) open-access peer-reviewed journal. All articles are
peer-reviewed by at least 3 reviewers, usually including at least one
member of the Editorial Board.

Topics of interest:

- Typological clustering or classification of languages
- Investigation of particular linguistic features which improve or
detract from the performance of computational morphology tools
- Comparison of morphological structures (e.g., inflection classes,
implicative networks) across typologically different languages
- Investigation of diachronic typological change using computational
methods
- Creation, curation or analysis of typological databases via
computational methods


Submissions:

The submissions should be journal papers, not proceedings papers,
totalling 25-50 pages, excluding references.

Authors are advised to use the online manuscript submission for the
journal. Make sure to select the special issue when asked to provide
the article type. More information, including formatting instructions
for authors can be found on the journal's webpage at:
https://jlm.ipipan.waw.pl/index.php/JLM/about/submissions. An
adaptation of the LaTeX template for overleaf can be found at: https:/
/fr.overleaf.com/latex/templates/template-for-journal-of-language-mode
lling/zdnqphzzvsys.

Important dates:

Call for papers issued: 15/7/2022
Submissions due: 15/1/2023 --- extended to 31/03/2023
Author notification: Spring 2023

Guest editors:

Sacha Beniamine (University of Surrey)
Micha Elsner (The Ohio State University)
Katharina Kann (University of Colorado, Boulder)


References

[1] Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David
Yarowsky, Jason Eisner, and Mans Hulden. 2016a. The SIGMORPHON 2016
shared Task— Morphological reinflection. In Proceedings of the 14th
SIGMORPHON Workshop on Computational Research in Phonetics, Phonology,
and Morphology, pages 10–22, Berlin, Germany. Association for
Computational Linguistics.

[2] Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy, and
Katharina Kann. 2020. Unsupervised morphological paradigm completion.
In Proceedings of the 58th Annual Meeting of the Association for
Computational Linguistics, pages 6696– 6707, Online. Association for
Computational Linguistics.

[3] Neil Rathi, Michael Hahn, and Richard Futrell. 2021. An
Information-Theoretic Characterization of M



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