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Appendices

Published online by Cambridge University Press:  07 April 2022

Jesse Egbert
Affiliation:
Northern Arizona University
Douglas Biber
Affiliation:
Northern Arizona University
Bethany Gray
Affiliation:
Iowa State University
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Summary

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Type
Chapter
Information
Designing and Evaluating Language Corpora
A Practical Framework for Corpus Representativeness
, pp. 224 - 270
Publisher: Cambridge University Press
Print publication year: 2022

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References

Alsop, S., & Nesi, H. 2009. Issues in the development of the British Academic Written English (BAWE) corpus. Corpora 4(1): 7183.Google Scholar
Baturo, A., Dasandi, N., & Mikhaylov, S. 2017. Understanding state preferences with text as data: Introducing the UN General Debate corpus. Research & Politics 4(2): 19Google Scholar
Bednarek, M. 2020. The Sydney Corpus of Television Dialogue: Designing and building a corpus of dialogue from US TV series. Corpora 15(1): 107–19.Google Scholar
Biber, D., Egbert, J., & Davies, M. 2015. Exploring the composition of the searchable web: a corpus-based taxonomy of web registers. Corpora 10(1): 1145.Google Scholar
Biber, D., Finegan, E., & Atkinson, D. 1994. ARCHER and its challenges: Compiling and exploring a representative corpus of historical English registers. In Fries, U., Tottie, G., & Schneider, P. (eds.), Creating and Using English Language Corpora (114). Rodopi.Google Scholar
Davies, M. 2009. The 385+ million word Corpus of Contemporary American English (1990–2008+): Design, architecture, and linguistic insights. International Journal of Corpus Linguistics 14(2): 159–90.Google Scholar
Davies, M. 2012. Expanding horizons in historical linguistics with the 400-million word Corpus of Historical American English. Corpora 7(2): 121–57.Google Scholar
Davies, M. 2014. Creating and using the Corpus do Portugues and the Frequency Dictionary of Portuguese. In Berber Sardinha, T. & Ferreira, T. (eds.), Working with Portuguese Corpora (89110). Continuum.Google Scholar
Davies, M. 2021. The TV and Movies corpora: Design, construction, and use. International Journal of Corpus Linguistics 26(1): 1037.Google Scholar
Davies, M., & Fuchs, R. 2015. Expanding horizons in the study of world Englishes with the 1.9 billion word Global Web-Based English Corpus (GloWbE). English World-Wide 36: 128.Google Scholar
Diemer, S., Brunner, M.-L., & Schmidt, S. 2016. Compiling computer-mediated spoken language corpora: Key issues and recommendations. International Journal of Corpus Linguistics 21(3): 348–71.Google Scholar
Friginal, E. 2009. Chapter 3. Corpora and description of speaker groups in the call center corpus. In The Language of Outsourced Call Centers: A Corpus-Based Study of Cross-cultural Interaction (3973). John Benjamins.Google Scholar
Granger, S. 2003. The International Corpus of Learner English: A new resource for foreign language learning and teaching and second language acquisition research. TESOL Quarterly 37(3): 538–46.Google Scholar
Grieve, J. 2016. Chapter 2. Corpus. In Regional Variation in Written American English (1635). Cambridge University Press.Google Scholar
Knight, D., Adolphs, S., & Carter, R. 2014. CANELC: Constructing an e-language corpus. Corpora 9(1): 2956.Google Scholar
Krummes, C., & Ensslin, A. 2014. What’s hard in German? WHiG: A British learner corpus of German. Corpora 9(2): 191205.Google Scholar
Llanos, L. C. 2014. A Spanish learner oral corpus for computer-aided error analysis. Corpora 9(2): 207–38.Google Scholar
Love, R., Dembry, C., Hardie, A., Brezina, V., & McEnery, T. 2017. The spoken BNC2014: Designing and building a spoken corpus of everyday conversations. International Journal of Corpus Linguistics 22(3): 319–44.Google Scholar
Nesi, H., Sharpling, G., & Ganobcsik-Williams, L. 2004. Student papers across the curriculum: Designing and developing a corpus of British student writing. Computers and Composition 21(4): 401503.Google Scholar
O’Donnell, M., & Römer, U. 2012. From student to hard drive to web corpus (part 2): The annotation and online distributions of the Michigan Corpus of Upper-Level Student Papers. Corpora 7(1): 118.Google Scholar
Ohashi, Y., Katagiri, N., Oka, K., & Hanada, M. 2020. ESP corpus design: Compilation of the Veterinary Nursing Medical Chart Corpus and the Veterinary Nursing Wordlist. Corpora 15(2): 125–40.Google Scholar
Pickering, L., Di Ferrante, L., Bruce, C., Friginal, E., Pearson, P., & Bouchard, J. 2019. An introduction to the ANAWC: The AAC and Non-AAC Workplace Corpus. International Journal of Corpus Linguistics 24(2): 229244.Google Scholar
Puga, K & Götz, S. 2017. “Keep out of reach of children!” Introducing the Corpus of Product Information (CoPI) and its potential for corpus-based genre teaching. Corpora 12(3): 393423.Google Scholar
Römer, U., & O’Donnell, M. 2011. From student hard drive to web corpus (part 1): The design, compilation and genre classification of the Michigan Corpus of Upper-Level Student Papers (MICUSP). Corpora 6(2): 159–77.Google Scholar
Rühlemann, C., & O’Donnell, M. 2012. Introducing a corpus of conversational stories. Construction and annotation of the Narrative Corpus.Corpus Linguistics and Linguistic Theory 8(2): 313–50.Google Scholar
Staples, S. 2015. Chapter 3. Corpus and data analysis. In The Discourse of Nurse-Patient Interactions: Contrasting the Communicative Styles of U.S. and International Nurses. John Benjamins.Google Scholar
Tellings, A., Oostdijk, N., Monster, I., Grootjen, F., & van den Bosch, A. 2018. BasiScript: A corpus of contemporary Dutch texts written by primary school children. International Journal of Corpus Linguistics 23(4): 494508.Google Scholar
Walkden, G. 2016. The HeliPaD: A parsed corpus of Old Saxon. International Journal of Corpus Linguistics 21(4): 559–71.Google Scholar

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