33.2768, Calls: Phonology, Text/Corpus Linguistics / Phonology (Jrnl)
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Sat Sep 10 00:42:24 UTC 2022
LINGUIST List: Vol-33-2768. Sat Sep 10 2022. ISSN: 1069 - 4875.
Subject: 33.2768, Calls: Phonology, Text/Corpus Linguistics / Phonology (Jrnl)
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================================================================
Date: Sat, 10 Sep 2022 00:42:17
From: Marie-Hélène Côté [marie-helene.cote at unil.ch]
Subject: Phonology, Text/Corpus Linguistics / Phonology (Jrnl)
Full Title: Phonology
Linguistic Field(s): Phonology; Text/Corpus Linguistics
Call Deadline: 04-Dec-2022
2nd Call for Papers:
Corpus Phonology emerged around the turn of the 21st century as a relatively
autonomous field, at the interface between phonology and corpus linguistics.
While there is a plurality of approaches within Corpus Phonology, it appears
that all scholars working in this field share the belief that phonology is an
empirical science, and that phonological generalizations must be drawn from
large collections of data instead of isolated examples. As such, Corpus
Phonology shares many concerns and methods with other empirical subfields of
linguistics such as variationist sociolinguistics, Laboratory Phonology as
well as natural language processing.
The vitality of this research program is illustrated by the fact that there
exists a dedicated handbook, The Oxford Handbook of Corpus Phonology (2014).
In addition, a number of large projects, targeting a growing variety of
languages, have been developed to provide reliable, primary data sources that
can serve as a basis for phonological analysis and theorizing. Corpora most
often consist of (annotated) samples of recorded spoken or sign language, but
may also take the form of lexical databases containing phonetic or
phonological transcriptions. The availability of large corpora has been
accompanied by the development of a wealth of tools for the annotation and
analysis of phonological data.
Among other contributions to the empirical basis of phonology, corpora have
led to more accurate descriptions of phonological patterns that differ,
sometimes markedly, from traditional accounts. Furthermore, they have allowed
phonologists to integrate frequency and different types of context-related
effects to the understanding of sound phenomena, often taking advantage of new
quantitative methods.
This thematic issue seeks to offer an overview of the current state of the
field, show how corpora shed new light on old problems or uncover new
phenomena, and highlight potential avenues and challenges going forward.
Contributions that try to articulate the link between phonological data and
phonological theory are particularly welcome, provided that phonological
corpora play a central role in the analysis. Topics addressed include (but are
not limited to) the following:
- the use of corpora to test (or challenge) formal models in phonology
- the advantages and/or limitations of (different types of) corpora for
phonological research, including comparisons with other empirical approaches,
such as experimental methods
- corpus-based analyses of phonological phenomena that use state-of-the-art
quantitative methods (e.g., mixed-effects models, Information Theory, Bayesian
methods)
- corpus-based analyses of lesser documented languages
- data-driven, inductive approaches to phonological structure
- corpus-based analyses of sign language phonology
This thematic issue, which will be edited by Marie-Hélène Côté (U of Lausanne)
and Julien Eychenne (U of Sherbrooke), is open to all potential contributors,
from all theoretical persuasions, and is projected to appear as one of the
issues of Phonology 40 (2023).
General information on the submission of manuscripts can be found on the
Phonology website (http://journals.cambridge.org/pho). Submissions should be
uploaded in PDF format to ScholarOne
(https://mc.manuscriptcentral.com/phonology). Contributors should feel free to
contact the editors directly with questions at any time in the submission
process, at marie-helene.cote at unil.ch, julien.eychenne at usherbrooke.ca, and
submissions at phonology.uk. An abstract (no longer than 150 words) should be
included. Preference will be given to papers which will occupy no more than 20
printed pages (around 8000 words). Submissions will be read by at least two
reviewers and by the editors of the thematic issue.
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