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Programming for Corpus Linguistics with Python and Dataframes.

Programming for Corpus Linguistics with Python and Dataframes.

・ISBN 978-1-009-48678-1 hard GB£ 55.00

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・ISBN 978-1-108-82258-9 paper GB£ 18.00

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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-108-90409-4

著者・編者Keller, Daniel,
シリーズElements in Corpus Linguistics
出版社(Cambridge U. Pr., UK)
出版年月2024.06
ページ数114 pp.
言語ENG
ニュース番号<731-1486>

解説

This Element offers intermediate or experienced programmers algorithms for Corpus Linguistic (CL) programming in the Python language using dataframes that provide a fast, efficient, intuitive set of methods for working with large, complex datasets such as corpora. This Element demonstrates principles of dataframe programming applied to CL analyses, as well as complete algorithms for creating concordances; producing lists of collocates, keywords, and lexical bundles; and performing key feature analysis. An additional algorithm for creating dataframe corpora is presented including methods for tokenizing, part-of-speech tagging, and lemmatizing using spaCy. This Element provides a set of core skills that can be applied to a range of CL research questions, as well as to original analyses not possible with existing corpus software.