Linguistics across disciplinary borders: the march of data
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...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York ; Oxford ; New Delhi ; Sydney
Bloomsbury Academic
2024
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| Schriftenreihe: | Language, data science and digital humanities
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | 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 |
| Beschreibung: | xii, 252 Seiten Illustrationen, Diagramme |
| ISBN: | 9781350362260 |
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Contents List of Figures List of Tables xi Introduction Steven Coats and Veronika Laippala 1 ix Part I Methods for Data Collection, Analysis and Visualization 1 2 3 Noisy Data: Using Automatic Speech Recognition Transcripts for Linguistic Research Steven Coats Low-code Data Science Tools for Linguistics: Swiss Army Knives or Pretty Black Boxes? Jukka Tyrkkö and Daniel Ihrmark The Visualization and Evaluation of Semantic and Conceptual Maps Gerold Schneider 17 40 67 Part II Corpus Construction, Registers and Genres 4 5 6 Towards Automatic Register Classification in Unrestricted Databases of Historical English Liina Repo, Brett Hashimoto, Aatu Liimatta, Lassi Saario, Tanja Säily, Iiro Tiihonen, Mikko Tolonen and Veronika Laippala The Topical Landscape of Web Registers: Exploring the Interplay of Registers and Topicality in a Web-scale Corpus Valtteri Skantsi, Veronika Laippala and Aki-Juhani Kyröläinen Towards ‘Large and Tidy: Establishing Internal Structure in Mega corpora Axel Bohmann 97 127 157 Part III Social Media, Discourse and Meanings 7 Multi-modal Considerations for Social Media Discourse Analysis: A Specialized Corpus of Twitter Commentary on ‘Working from Home’ Christopher Fitzgerald, Geraldine Mark, Anne O’Keeffe, Dawn Knight, Justin McNamara, Svenja Adolphs, Benjamin Cowan, Tania Fahey Palma, Fiona Farr and Sandrine Peraldi 187
viii 8 Contents Exploring Self-identification and the Functions of the Identify as Construction in the LGBTQ+ Reddit Corpus Laura Hekanaho, Turo Hiltunen, Minna Palander-Collin and Helmiina Hotti List of Contributors Index 213 243 249 |
| adam_txt |
Contents List of Figures List of Tables xi Introduction Steven Coats and Veronika Laippala 1 ix Part I Methods for Data Collection, Analysis and Visualization 1 2 3 Noisy Data: Using Automatic Speech Recognition Transcripts for Linguistic Research Steven Coats Low-code Data Science Tools for Linguistics: Swiss Army Knives or Pretty Black Boxes? Jukka Tyrkkö and Daniel Ihrmark The Visualization and Evaluation of Semantic and Conceptual Maps Gerold Schneider 17 40 67 Part II Corpus Construction, Registers and Genres 4 5 6 Towards Automatic Register Classification in Unrestricted Databases of Historical English Liina Repo, Brett Hashimoto, Aatu Liimatta, Lassi Saario, Tanja Säily, Iiro Tiihonen, Mikko Tolonen and Veronika Laippala The Topical Landscape of Web Registers: Exploring the Interplay of Registers and Topicality in a Web-scale Corpus Valtteri Skantsi, Veronika Laippala and Aki-Juhani Kyröläinen Towards ‘Large and Tidy: Establishing Internal Structure in Mega corpora Axel Bohmann 97 127 157 Part III Social Media, Discourse and Meanings 7 Multi-modal Considerations for Social Media Discourse Analysis: A Specialized Corpus of Twitter Commentary on ‘Working from Home’ Christopher Fitzgerald, Geraldine Mark, Anne O’Keeffe, Dawn Knight, Justin McNamara, Svenja Adolphs, Benjamin Cowan, Tania Fahey Palma, Fiona Farr and Sandrine Peraldi 187
viii 8 Contents Exploring Self-identification and the Functions of the Identify as Construction in the LGBTQ+ Reddit Corpus Laura Hekanaho, Turo Hiltunen, Minna Palander-Collin and Helmiina Hotti List of Contributors Index 213 243 249 |
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| spelling | Linguistics across disciplinary borders the march of data edited by Steven Coats and Veronika Laippala London ; New York ; Oxford ; New Delhi ; Sydney Bloomsbury Academic 2024 xii, 252 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Language, data science and digital humanities 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 Automatische Sprachanalyse (DE-588)4129935-8 gnd rswk-swf Sprachdaten (DE-588)4312652-2 gnd rswk-swf Korpus Linguistik (DE-588)4165338-5 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Computational linguistics Corpora (Linguistics) Data analysis: general linguistics Computerlinguistik (DE-588)4035843-4 s Korpus Linguistik (DE-588)4165338-5 s Automatische Sprachanalyse (DE-588)4129935-8 s Sprachdaten (DE-588)4312652-2 s DE-604 Coats, Steven ca. 20./21. Jh. (DE-588)1328432122 edt Laippala, Veronika (DE-588)1333161786 edt Erscheint auch als Online-Ausgabe, eBook 978-1-3503-6228-4 (DE-604)BV049743426 Erscheint auch als Online-Ausgabe, ePDF 978-1-3503-6227-7 9781350362260 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034917812&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title_exact_search | Linguistics across disciplinary borders the march of data |
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| title_full | Linguistics across disciplinary borders the march of data edited by Steven Coats and Veronika Laippala |
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