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Linguistics across Disciplinary Borders: The March of Data [Kietas viršelis]

Edited by (University of Oulu, Finland), Edited by (University of Turku, Finland)
  • Formatas: Hardback, 264 pages, aukštis x plotis x storis: 238x160x22 mm, weight: 548 g, 45 bw illus
  • Serija: Language, Data Science and Digital Humanities
  • Išleidimo metai: 22-Feb-2024
  • Leidėjas: Bloomsbury Academic
  • ISBN-10: 1350362263
  • ISBN-13: 9781350362260
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 264 pages, aukštis x plotis x storis: 238x160x22 mm, weight: 548 g, 45 bw illus
  • Serija: Language, Data Science and Digital Humanities
  • Išleidimo metai: 22-Feb-2024
  • Leidėjas: Bloomsbury Academic
  • ISBN-10: 1350362263
  • ISBN-13: 9781350362260
Kitos knygos pagal šią temą:

This volume highlights the ways in which recent developments in corpus linguistics and natural language processing can engage with topics across language studies, humanities and social science disciplines.

New approaches have emerged in recent years that blur disciplinary boundaries, facilitated by factors such as the application of computational methods, access to large data sets, and the sharing of code, as well as continual advances in technologies related to data storage, retrieval, and processing. The “march of data” denotes an area at the border region of linguistics, humanities, and social science disciplines, but also the inevitable development of the underlying technologies that drive analysis in these subject areas.

Organized into 3 sections, the chapters are connected by the underlying thread of linguistic corpora: how they can be created, how they can shed light on varieties or registers, and how their metadata can be utilized to better understand the internal structure of similar resources. While some chapters in the volume make use of well-established existing corpora, others analyze data from platforms such as YouTube, Twitter or Reddit. The volume provides insight into the diversity of methods, approaches, and corpora that inform our understanding of the “border regions” between the realms of data science, language/linguistics, and social or cultural studies.

Daugiau informacijos

An edited collection highlighting data-based methods and approaches to linguistics in the broader context of humanities and social sciences.
List of Figures
List of Tables
List of Contributors
Acknowledgements
Introduction, Steven Coats (University of Oulu, Finland) and Veronika
Laippala (University of Turku, Finland)
Part I. Methods for Data Collection, Analysis, and Visualization
1. Using Automatic Speech Recognition Transcripts for Linguistic Research,
Steven Coats (University of Oulu, Finland)
2. Low-code Data Science Tools for Linguistics: Swiss Army Knives or Pretty
Black Boxes? Jukka Tyrkkö and Daniel Ihrmark (Linnaeus University, Sweden)
3. The Visualisation and Evaluation of Semantic and Conceptual Maps, Gerold
Schneider (University of Zurich, Switzerland)
Part II. Corpus Construction, Registers, and Genres
4. Toward Automatic Register Classification in Unrestricted Databases of
Historical English, Liina Repo (University of Turku, Finland), Brett
Hashimoto (Brigham Young University, USA), Aatu Liimatta (University of
Helsinki, Finland), Lassi Saario (University of Helsinki, Finland), Tanja
Säily (University of Helsinki, Finland), Iiro Tiihonen (University of
Helsinki, Finland), Mikko Tolonen (University of Helsinki, Finland), and
Veronika Laippala (University of Turku, Finland)
5. Exploring the Interplay of Registers and Topicality in a Web-Scale
Corpus, Valtteri Skantsi, Veronika Laippala, and Aku Kyroläinen (University
of Turku, Finland)
6. Towards Large and Tidy: Establishing Internal Structure in
Mega-Corpora, Axel Bohmann (University of Freiburg, Germany)
Part III. Social Media, Discourse, and Meanings
7. Multi-Modal Considerations for Social Media Discourse Analysis: A
Specialised Corpus of Twitter Commentary on Working from Home, Christopher
Fitzgerald (Mary Immaculate College, Ireland), Geraldine Mark (Cardiff
University, Wales), Anne OKeeffe (Mary Immaculate College, Ireland), Dawn
Knight (Cardiff University, Wales), Justin McNamara (Mary Immaculate College,
Ireland), Svenja Adolphs (University of Nottingham, England), Benjamin Cowan
(University College Dublin, Ireland), Tania Fahey Palma (University of
Aberdeen, Scotland), Fiona Farr (University of Limerick, Ireland), and
Sandrine Peraldi (University College Dublin, Ireland)
8. Exploring Patterns of Self-Identification in the LGBTQ+ Reddit Corpus,
Laura Hekanaho (University of Helsinki/Tampere University, Finland), Turo
Hiltunen (University of Helsinki, Finland), Minna Palander-Collin (University
of Helsinki, Finland); and Helmiina Hotti (University of Helsinki, Finland)
Index
Steven Coats is a Lecturer in English at the University of Oulu, Finland.

Veronika Laippala is Professor of Digital Language Studies at the University of Turku, Finland.