LINGUIST List 33.257
Mon Jan 24 2022
FYI: Call for Book Chapters: The March of Data: Linguistics across Disciplinary Borders
Editor for this issue: Everett Green <everettlinguistlist.org>
Date: 14-Jan-2022
From: Veronika Laippala <veronika.laippala
utu.fi>
Subject: Call for Book Chapters: The March of Data: Linguistics across Disciplinary Borders
E-mail this message to a friend 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
oulu.fi
Veronika Laippala, University of Turku, Finland. Email: veronika.laippala
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
Page Updated: 24-Jan-2022