Linguistics across disciplinary borders

• Titel: Linguistics across disciplinary borders
• Titelzusatz: the march of data
• Mitwirkende: Coats, Steven [HerausgeberIn]
• Mitwirkende: Laippala, Veronika [HerausgeberIn]
• Verf.angabe: edited by Steven Coats and Veronika Laippala
• Verlagsort: London ; New York ; Oxford ; New Delhi ; Sydney
• Verlag: Bloomsbury Academic
• Jahr: 2024
• Umfang: xii, 252 Seiten
• Illustrationen: Illustrationen, Diagramme
• Gesamttitel/Reihe: Language, data science and digital humanities
• ISBN: 978-1-350-36226-0
• Schlagwörter: (s)Computerlinguistik / (s)Korpus <Linguistik> / (s)Automatische Sprachanalyse / (s)Sprachdaten
• Dokumenttyp: Aufsatzsammlung
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Online-Ausgabe: Linguistics across disciplinary borders. - London : Bloomsbury Academic, 2024. - 1 Online-Ressource (xii, 252 Seiten)
• RVK-Notation: HF 450
• K10plus-PPN: 1889256676

Abstract

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