Natural Language Processing for Corpus Linguistics
eBook - PDF

Natural Language Processing for Corpus Linguistics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Natural Language Processing for Corpus Linguistics

About this book

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. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.

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Table of contents

  1. Cover
  2. Tilte Page
  3. Coypright Page
  4. Natural Language Processing for Corpus Linguistics

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Yes, you can access Natural Language Processing for Corpus Linguistics by Jonathan Dunn in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Linguistics. We have over one million books available in our catalogue for you to explore.