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Series:   Elements in Corpus Linguistics

Programming for Corpus Linguistics with Python and Dataframes

Published online by Cambridge University Press:  24 May 2024

Daniel Keller
Daniel Keller
Affiliation:
Western Kentucky University

Summary

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.
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Keywords

corpus linguisticsprogrammingPythoncorpus linguistic methodsalgorithms for corpus linguistics
Type
Element
Information
Series: Elements in Corpus Linguistics
Online ISBN: 9781108904094
Publisher: Cambridge University Press
Print publication: 20 June 2024

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References

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Programming for Corpus Linguistics with Python and Dataframes
  • Daniel Keller, Western Kentucky University
  • Online ISBN: 9781108904094
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Programming for Corpus Linguistics with Python and Dataframes
  • Daniel Keller, Western Kentucky University
  • Online ISBN: 9781108904094
Available formats
×

Save element to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Programming for Corpus Linguistics with Python and Dataframes
  • Daniel Keller, Western Kentucky University
  • Online ISBN: 9781108904094
Available formats
×