Programming for Corpus Linguistics with Python and Dataframes
Author:   Daniel Keller (Western Kentucky University)
Publisher:   Cambridge University Press
ISBN:  

9781108822589


Pages:   114
Publication Date:   20 June 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Programming for Corpus Linguistics with Python and Dataframes


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Overview

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.

Full Product Details

Author:   Daniel Keller (Western Kentucky University)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 15.20cm , Height: 0.60cm , Length: 22.90cm
Weight:   0.177kg
ISBN:  

9781108822589


ISBN 10:   1108822584
Pages:   114
Publication Date:   20 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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