Part of
Corpora and Rhetorically Informed Text Analysis: The diverse applications of DocuScope
Edited by David West Brown and Danielle Zawodny Wetzel
[Studies in Corpus Linguistics 109] 2023
► pp. 7992
References (9)
References
Beigman Klebanov, B., Ramineni, C., Kaufer, D., Yeoh, P., & Ishizaki, S. (2019). Advancing the validity argument for standardized writing tests using quantitative rhetorical analysis. Language Testing, 36(1), 125–144. DOI logoGoogle Scholar
Biber, D. (1989). A typology of English texts. Linguistics, 27, 3–43. DOI logoGoogle Scholar
Burstein, J., Elliot, N., Beigman Klebanov, B., Madnani, N., Napolitano, D., Schwartz, M., Houghton, P., & Molloy, H. (2018). Writing mentor: Writing progress using self-regulated writing support. Journal of Writing Analytics, 2, 314–328. DOI logoGoogle Scholar
Ishizaki, S. & Kaufer, D. 2011. Computer-aided rhetorical analysis. In Philip McCarthy and Chutima Boonthum (eds.), Applied Natural Language Processing and Content Analysis: Identification, Investigation, and Resolution, 276–296.Google Scholar
Karlgren, J., & Cutting, D. (1994). Recognizing test genres with simple metrics using discriminant analysis. In COLING’ 94: Proceedings of the 15th Conference on Computational Linguistics (pp. 1071–1075). ACL. DOI logoGoogle Scholar
Kaufer, D., Ishizaki, S., Butler, B., & Collins, J. 2004. The Power of Words: Unveiling the Speaker and Writer’s Hidden Craft. Mahwah, NJ: Lawrence Erlbaum. DOI logoGoogle Scholar
Kullback, S., & Leibler, R. (1951). On information and sufficiency. Annals of Mathematical Statistics, 22, 79–86. DOI logoGoogle Scholar
Page, E. (1966). The imminence of grading essays by computer. The Phi Delta Kappan, 47(5), 238–243.Google Scholar
Petrenz, P. & Webber, B. 2011. Stable classification of text genres. Computational Linguistics, 37(2): 385–393. DOI logoGoogle Scholar