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Programming for Corpus Linguistics with Python and Dataframes

Programming for Corpus Linguistics with Python and Dataframes

Programming for Corpus Linguistics with Python and Dataframes

Daniel Keller, Western Kentucky University
June 2024
Available
Hardback
9781009486781

    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.

    Product details

    June 2024
    Hardback
    9781009486781
    114 pages
    229 × 152 × 8 mm
    0.306kg
    Available

    Table of Contents

    • 1. Data frame corpora
    • 2. Python basics for corpus linguistics
    • 3. Working with data frames
    • 4. Algorithms for common corpus linguistic tasks
    • 5. Creating data frame corpora
    • 6. Conclusion
    • References.
    Resources for
    Type
    Keller - Supp Mat
    Size: 359.8 MB
    Type: application/zip
      Author
    • Daniel Keller , Western Kentucky University