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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.
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