Book review
X. Lu. Computational Methods for Corpus Annotation and Analysis. Heidelberg: Springer, (2014). xi + 186 pp.
References (6)
References
Crossley, S. A., Louwerse, M. M., McCarthy, P. M., & McNamara, D. S. (2007). A linguistic analysis of simplified and authentic texts. The Modern Language Journal, 91(1), 15–30. ![DOI logo](https://benjamins.com/logos/doi-logo.svg)
![Google Scholar](https://benjamins.com/logos/google-scholar.svg)
Gries, S. (2009). Quantitative Corpus Linguistics with R: A Practical Introduction. New York, NY: Routledge. ![DOI logo](https://benjamins.com/logos/doi-logo.svg)
![Google Scholar](https://benjamins.com/logos/google-scholar.svg)
Jockers, M. L. (2014). Text Analysis with R for Students of Literature. Heidelberg, Germany: Springer. ![DOI logo](https://benjamins.com/logos/doi-logo.svg)
![Google Scholar](https://benjamins.com/logos/google-scholar.svg)
Manning, C., & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. Cambridge, MA: The MIT Press.![Google Scholar](https://benjamins.com/logos/google-scholar.svg)
McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge, UK: Cambridge University Press.![Google Scholar](https://benjamins.com/logos/google-scholar.svg)
Pustejovsky, J., & Stubbs, A. 2012. Natural Language Annotation for Machine Learning. Sebastopol, CA: O’Reilly.![Google Scholar](https://benjamins.com/logos/google-scholar.svg)