Overview
- Sits at the intersection between Digital Humanities, Corpus Linguistics, Computational Linguistics, Natural Language Processing, and Text Mining
- Explores how qualitative research questions can be answered by Quantitative Text Analysis methods
- Fills a clear gap in the current state of art by bringing practice, theory and application together
- Questions how quantitative aspects of textual data uncovered through Quantitative Text Analysis can give rise to new research questions
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Table of contents (7 chapters)
Keywords
About this book
This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data. The landscape of humanities research has recently changed thanks to the proliferation of big data and large textual collections such as Google Books, Early English Books Online, and Project Gutenberg. These resources have yet to be fully explored by new generations of scholars, and the authors argue that Language Technology has a key role to play in the exploration of large-scale textual data. The authors use a series of illustrative examples from various humanistic disciplines (mainly but not exclusively from History, Classics, and Literary Studies) to demonstrate basic and more complex use-case scenarios. This book will be useful to graduate students and researchers in humanistic disciplines working with textual data, including History, Modern Languages, Literary studies, Classics, and Linguistics. This is also a very useful book for anyone teaching or learning Digital Humanities and interested in the basic concepts from computational linguistics, corpus linguistics, and natural language processing.
Authors and Affiliations
About the authors
Barbara McGillivray is a Turing Research Fellow at the University of Cambridge and The Alan Turing Institute, UK. She has published two monographs, Methods in Latin Computational Linguistics (2014) and Quantitative Historical Linguistics. A corpus framework (2017).
Gábor Mihály Tóth is a Research Fellow at the Shoah Foundation and the Signal Analysis and Interpretation Laboratory (SAIL), Viterbi School of Engineering, University of Southern California, USA.
Bibliographic Information
Book Title: Applying Language Technology in Humanities Research
Book Subtitle: Design, Application, and the Underlying Logic
Authors: Barbara McGillivray, Gábor Mihály Tóth
DOI: https://doi.org/10.1007/978-3-030-46493-6
Publisher: Palgrave Macmillan Cham
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Hardcover ISBN: 978-3-030-46492-9Published: 14 July 2020
eBook ISBN: 978-3-030-46493-6Published: 13 July 2020
Edition Number: 1
Number of Pages: XIII, 126
Number of Illustrations: 8 b/w illustrations, 10 illustrations in colour
Topics: Research Methods in Language and Linguistics, Digital Humanities, Corpus Linguistics, Computational Linguistics, Data Mining and Knowledge Discovery