Treffer: Review: Dunn. 2022. Natural Language Processing for Corpus Linguistics. Cambridge: Cambridge University Press.

"The Cambridge Element of Natural Language Processing for Corpus Linguistics" by Jonathan Dunn explores how computational methods from natural language processing can enhance corpus linguistics in solving categorization and comparison problems. The book covers three key computational methods for linguistic analysis: text categorization, text comparison, and data reporting. It includes case studies and interactive online code notebooks to demonstrate how to apply Python-based computational methods to meaningful linguistic analysis. The book emphasizes the importance of considering ethical issues, such as privacy protection and data rights, when using computational methods and accessing large corpora. Overall, the book provides practical guidance for researchers interested in applying computational methods to the analysis of linguistic data. [Extracted from the article]

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