Jesse Egbert
Assistant Professor
Telephone: 928-523-6265
Email: Jesse.Egbert@nau.edu
Website: http://oak.ucc.nau.edu/jae89/
Education
PhD, Applied Linguistics, Northern Arizona University, 2014
Graduate Certificate, Applied Statistics, Northern Arizona University, 2013
MA, Teaching English as a Second Language, Northern Arizona University, 2010
BA, Linguistics, Brigham Young University, 2009
Interests
- register variation
- internet language
- academic writing
- quantitative methods
- methodological triangulation
Books
Biber, D. & Egbert, J. (2018). Register variation online. Cambridge: Cambridge University Press.
Baker, P. & Egbert, J. (Eds.) (2016). Triangulating methodological approaches in corpus linguistic research. New York: Routledge.
Refereed journal articles (since 2015)
Egbert, J. & Biber, D. (in press | 2019). Incorporating text dispersion into keyword analyses. Corpora.
Phillips, J.C. & Egbert, J. (2018). Advancing law and corpus linguistics: Importing principles and practices from survey and content-analysis methodologies to improve corpus design and analysis. BYU Law Review.
Egbert, J. (2017). Corpus linguistics and language testing: Navigating uncharted waters. Language Testing, 34(4): 555-564.
Burch, B., Egbert, J., & Biber, D. (2017). Measuring and interpreting lexical dispersion in corpus linguistics. Journal of Research Design and Statistics in Linguistics and Communication Science, 3(2): 189-216.
Staples, S., LaFlair, G.T., & Egbert, J. (2017). Comparing language use in oral proficiency interviews to target domains: Conversational, academic, and professional discourse. The Modern Language Journal, 101(1): 194-213.
Hartshorn, J., Evans, N., Egbert, J. & Johnson, A. (2017). Reading expectations and challenges for English language learners in lower- and upper-division major courses in US universities. Reading in a Foreign Language. 29(1): 36-60.
Egbert, J. & Biber, D. (2016). Do all roads lead to Rome?: Modeling register variation with factor analysis and discriminant analysis. Corpus Linguistics and Linguistic Theory.
Biber, D. & Egbert, J. (2016). Register variation on the searchable web: A Multi-Dimensional analysis. Journal of English Linguistics, 44(2): 95-137.
Staples, S., Egbert, J., Biber, D. & Gray, B. (2016). Academic writing development at the university: Phrasal and clausal complexity across level of study, discipline, and genre. Written Communication, 33(2): 149-183.
Szmrecsanyi, B., Biber, D., Egbert, J. & Franco, K. (2016). Towards more accountability: Modeling ternary genitive variation in Late Modern English. Language Variation and Change, 28(1): 1-29.
Biber, D. & Egbert, J. (2015). Using grammatical features for automatic register identification in an unrestricted corpus of documents from the open web. Journal of Research Design and Statistics in Linguistics and Communication Science, 2(1): 3-36.
Plonsky, L., Egbert, J., & LaFlair, G. (2015). Bootstrapping in applied linguistics: Assessing its potential using shared data. Applied Linguistics, 36(5): 591-610.
Egbert, J. & Plonsky, L. (2015). Success in the abstract: Linguistic and stylistic predictors of conference abstract ratings. Corpora, 10(3): 291-313.
Egbert, J., Biber, D., & Davies, M. (2015). Developing a bottom-up, user-based method of web register classification. Journal of the Association for Information Science and Technology, 66(9): 1817-1831.
Biber, D., Egbert, J., & Davies, M. (2015). Exploring the composition of the searchable web: A corpus-based taxonomy of web registers. Corpora, 10(1): 11-45.
Egbert, J. (2015). Sub-register and discipline variation in published academic writing: Investigating statistical interaction in corpus data. International Journal of Corpus Linguistics, 20(1): 1-29.