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Review published In: International Journal of Corpus Linguistics
Vol. 21:1 (2016) ► pp.133–138

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Book review

X. Lu. Computational Methods for Corpus Annotation and Analysis. Heidelberg: Springer, (2014). xi + 186 pp.

Reviewed by
 | Huazhong University of Science and Technology, China
Published online: 31 March 2016
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https://doi.org/10.1075/ijcl.21.1.08lei
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. Google Scholar logo with link to Google Scholar
Gries, S. (2009). Quantitative Corpus Linguistics with R: A Practical Introduction. New York, NY: Routledge. Google Scholar logo with link to Google Scholar
Jockers, M. L. (2014). Text Analysis with R for Students of Literature. Heidelberg, Germany: Springer. Google Scholar logo with link to Google Scholar
Manning, C., & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. Cambridge, MA: The MIT Press.Google Scholar logo with link to Google Scholar
McEnery, T., & Hardie, A. (2012). Corpus Linguistics: Method, Theory and Practice. Cambridge, UK: Cambridge University Press.Google Scholar logo with link to Google Scholar
Pustejovsky, J., & Stubbs, A. 2012. Natural Language Annotation for Machine Learning. Sebastopol, CA: O’Reilly.Google Scholar logo with link to Google Scholar
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