Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Shelley L Staples is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A multilingual learner corpus for less commonly taught languages
Sommer-Farias, B., Novikov, A., Picoral, A., Centanin-Bertho, M. & Staples, S., Dec 31 2022, In: International Journal of Learner Corpus Research. 8, 2, p. 261-282 22 p.Research output: Contribution to journal › Article › peer-review
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Integrating fluency and prosody into multidimensional analysis Exploring the multidimensional nature of spoken learner language
Staples, S. & Puga, K., Dec 31 2022, In: International Journal of Learner Corpus Research. 8, 2, p. 190-236 47 p.Research output: Contribution to journal › Article › peer-review
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Spoken corpora
Huensch, A. & Staples, S., Mar 11 2022, The Routledge Handbook of Second Language Acquisition and Speaking. Taylor and Francis, p. 112-129 18 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Automated annotation of learner English
Picoral, A., Staples, S. & Reppen, R., Mar 1 2021, In: International Journal of Learner Corpus Research. 7, 1, p. 17-52 36 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Exploring the longitudinal development of grammatical complexity in the disciplinary writing of L2-English university students
Biber, D., Reppen, R., Staples, S. & Egbert, J., Apr 14 2020, In: International Journal of Learner Corpus Research. 6, 1, p. 38-71 34 p.Research output: Contribution to journal › Article › peer-review
11 Scopus citations
Datasets
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Fitting MD analysis in an argument-based validity framework for writing assessment: Explanation and generalization inferences for the ECPE
Yan, X. (Creator) & Staples, S. L. (Creator), SAGE Journals, 2019
DOI: 10.25384/sage.c.4687664.v1, https://sage.figshare.com/collections/Fitting_MD_analysis_in_an_argument-based_validity_framework_for_writing_assessment_Explanation_and_generalization_inferences_for_the_ECPE/4687664/1
Dataset