33.257, FYI: Call for Book Chapters: The March of Data: Linguistics across Disciplinary Borders

[The LINGUIST List]

LINGUIST List: Vol-33-257. Mon Jan 24 2022. ISSN: 1069 - 4875.

Subject: 33.257, FYI: Call for Book Chapters: The March of Data: Linguistics across Disciplinary Borders

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Date: Mon, 24 Jan 2022 03:25:55
From: Veronika Laippala [veronika.laippala at utu.fi]
Subject: Call for Book Chapters: The March of Data: Linguistics across Disciplinary Borders

 
Call for Book Chapters: The March of Data: Linguistics across Disciplinary
Borders 

Publisher: Bloomsbury Academic
Series: Language, Data Science and Digital Humanities  
Series editors: Mikko Laitinen, University of Eastern Finland, Finland, and
Jukka Tyrkkö, Linnaeus University, Sweden
 
Editors
Steven Coats, University of Oulu, Finland.  Email: steven.coats at oulu.fi
Veronika Laippala, University of Turku, Finland. Email:
veronika.laippala at utu.fi 

Important Dates
Chapter Proposal (Abstract) Submission: March 15, 2022
Notification of Proposal Acceptance: April 15, 2022
Full Chapter Submission: September 15, 2022
Notification for chapter acceptance: November 15, 2022
Submission of the camera-ready chapters: January 15, 2023
Anticipated book publication: Early 2023
 
Scope and Purpose
- Computer-mediated communication (CMC): An ever-increasing proportion of
human interaction is mediated by digital technologies. We invite papers that
focus on CMC data such as forums, blogs, newsgroups, SMS and WhatsApp
messages, text chats, wiki discourse, social media platforms such as Twitter,
YouTube, or LinkedIn, pseudo-anonymous “chans” such as 4chan, or streaming
platforms such as Twitch or webcam sites, especially in the context of
computational sociolinguistics.
- Digital humanities: Language data give us insight into processes and
developments in specifically linguistic domains such as (e.g.) lexis, grammar,
or syntax, but can also shed light on language-mediated aspects of human
experience such as culture, history, politics, and economic behavior. We
welcome papers in which English language data are utilized in order to
investigate questions in the Digital Humanities. 
- Big data, maps, and visualization: Researchers in many linguistics,
humanities and social science subjects now often work with large data sets
that are annotated with geographic or other metadata, allowing the creation of
maps and other types of visualizations. We invite papers that report on the
collection and visualization of (for example) language data, and particularly
papers that discuss interactive visualization and mapping tools, as well as
new innovative methods such as Virtual Reality and Augmented Reality
technologies.
- Web-as-corpus: The Internet has revolutionary potential for linguistics,
computational linguistics and language studies. The massive amount of data
available online contains new ways of writing and presents unprecedented
possibilities to explore, for example, language, communication and culture. We
invite papers that use the Web as a corpus for research in linguistics and
computational linguistics, discuss the challenges related to this, or present
methods allowing to better benefit from Web data.
- Machine learning: How can machine learning and AI be used for the study of
language, for example in genre or register classification or in the
preparation and annotation of multimodal language data? What are the current
best practices and where are we heading? We encourage the submission of papers
that utilize machine learning or neural network approaches for the
identification, analyses and classification of humanities and social science
data as text or as sound, image and video. 

More information
https://mavela.github.io/march-of-data-docs/
 



Linguistic Field(s): Text/Corpus Linguistics





 



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