Programming for Corpus Linguistics with Python and Dataframes
Programming for Corpus Linguistics with Python and Dataframes
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] providing details of the course you are teaching.
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 2024Paperback
9781108822589
114 pages
230 × 150 × 5 mm
0.18kg
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.
