Linguistics across Disciplinary Borders
The March of Data
Series: Language, Data Science and Digital Humanities;
- Publisher's listprice GBP 95.00
-
48 079 Ft (45 790 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 4 808 Ft off)
- Discounted price 43 272 Ft (41 211 Ft + 5% VAT)
48 079 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Bloomsbury Academic
- Date of Publication 22 February 2024
- Number of Volumes Hardback
- ISBN 9781350362260
- Binding Hardback
- No. of pages264 pages
- Size 234x156 mm
- Language English
- Illustrations 45 bw illus 589
Categories
Long description:
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.
Table of Contents:
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 O'Keeffe (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
