Natural Language Processing for Corpus Linguistics

Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora.

List of contents

Accessing the Code Notebooks; 1. Computational Linguistic Analysis; 2. Text Classification; 3. Text Similarity; 4. Validation and Visualization; 5. Conclusions.

Summary

Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora.

Foreword

Learn how computational methods can be used to expand linguistic analysis and practice using interactive code notebooks in Python.

Product details

• Authors: Jonathan Dunn, Jonathan (University of Canterbury Dunn, Dunn Jonathan
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 31.03.2022
• EAN: 9781009074438
• ISBN: 978-1-0-0907443-8
• No. of pages: 75
• Series: Elements in Corpus Linguistics
• Subjects: Humanities, art, music > Linguistics and literary studies > Other languages / Other literatures; Linguistics, LANGUAGE ARTS & DISCIPLINES / Linguistics / General, Computational Linguistics, Computational and corpus linguistics