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Corpora and Rhetorically Informed Text Analysis
The diverse applications of DocuScope
Corpora and Rhetorically Informed Text Analysis explores applications of rhetorically informed approaches to corpus research. Bringing together contributions from scholars in a variety of fields, it takes up questions of how theories and traditions in rhetorical analysis can be integrated with corpus techniques in order to enrich our understanding of language use, variation, and history. The studies included in this volume shed light on areas as diverse as student academic writing, political discourse, and the digital humanities. These studies all make use of a dictionary-based tagger called DocuScope, which recognizes tens-of-millions of words and phrases and slots them into categories based on their rhetorical functions. While DocuScope provides a through-line that both links the studies’ various analytical procedures and primes their rhetorical insights, the volume is about more than the explanatory power of a single tool. It demonstrates how rhetorically informed approaches can complement more established corpus methodologies, underscoring their combined potential.
[Studies in Corpus Linguistics, 109] 2023. vii, 292 pp.
Publishing status: Available
Published online on 5 June 2023
Published online on 5 June 2023
© John Benjamins
Table of Contents
- Acknowledgments | pp. vii–7
- Part 1. DocuScope and computational rhetoric
- The DocuScope project: History, theory and future directionsDavid Kaufer and Suguru Ishizaki | pp. 2–24
- Introduction and overview to the volumeDavid West Brown, David Slomp and Danielle Zawodny Wetzel | pp. 25–40
- Part 2. Variation across academic disciplines
and contexts - DocuScope, multi-dimensional analysis, and student writing: Comparisons across tagging systems and corporaEmily Barrow DeJeu and David West Brown | pp. 42–78
- Narrative writing from users-in-the-wild: A computational rhetorical analysisBeata Beigman Klebanov | pp. 79–92
- Part 3. Writing pedagogy, access and equity
- Language patterns in secondary and postsecondary student writingLaura Aull | pp. 94–118
- Understanding social justice features in statistics writing: A corpus-based case study of two undergraduate statistics coursesMaria Elena Oliveri, Jennifer Randall, Mark Beck and Mya Poe | pp. 119–145
- Part 4. Rhetorically informed models
of social interaction - Public policy research applications
of DocuScope’s linguistic taxonomy: Mining style and stance for sociocultural insightWilliam Marcellino | pp. 148–166 - Be positive: Combining DocuScope with non-negative matrix factorization for topic discoveryRyan M. Omizo | pp. 167–189
- Part 5. Professional writing/professional genres
- DocuScope Write & Audit as an early feedback machine in genre-based writing: Topical progression and information focus
in proposal writingCheryl Geisler | pp. 191–212 - From technical reporter to personal guide: A comparison of plain language summaries
and abstracts in scientific journalsKira Dreher | pp. 213–237 - Part 6. Mining history
- Strategic language as a family
of identity-based discourse registers: Hillary Clinton and the president’s task force
on national health reform, 1993–1994Shawn J. Parry-Giles and David S. Kaufer | pp. 239–263 - Books for the Young by Caroline Hewins: A DocuScope analysis of gendered readership in an early children’s literature corpusRebekah Fitzsimmons and Gisele (Xinyu) Wu | pp. 264–285
- Name index | pp. 287–289
- Subject index | pp. 291–292
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