Informationen zum Autor 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. Klappentext 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. Vorwort An edited collection highlighting data-based methods and approaches to linguistics in the broader context of humanities and social sciences. 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. Inhaltsverzeichnis List of FiguresList of TablesList of ContributorsAcknowledgementsIntroduction, 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 ...

Vorwort
An edited collection highlighting data-based methods and approaches to linguistics in the broader context of humanities and social sciences.

Klappentext

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.

Inhalt
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