DocuScope, multi-dimensional analysis, and student writing: Comparisons across tagging systems and corpora
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AJA4WEQQW" target="_blank" >RIV/00216208:11320/23:JA4WEQQW - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165170893&doi=10.1075%2fscl.109.03dej&partnerID=40&md5=ce67f72c058d12bef41ebce095392e21" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165170893&doi=10.1075%2fscl.109.03dej&partnerID=40&md5=ce67f72c058d12bef41ebce095392e21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1075/scl.109.03dej" target="_blank" >10.1075/scl.109.03dej</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
DocuScope, multi-dimensional analysis, and student writing: Comparisons across tagging systems and corpora
Popis výsledku v původním jazyce
"In this chapter, we present a method for comparing tagging systems and patterns of disciplinary variation in corpora of student writing. We begin by highlighting the affordances of rhetorically and linguistically informed tagging systems by highlighting similarities and differences in each system’s analysis of the Michigan Corpus of Upper-Level Student Papers (MICUSP). Results confirm that both taggers produce statistically robust results in distinguishing disciplines across three dimensions and also highlight commonalities and differences that reflect the taggers’ respective theoretical orientations. Then, we present the results of a DocuScope-driven comparison of the British Academic Written English (BAWE) and MICUSP corpora and summarize topical and rhetorical patterns of disciplinary writing that seem fairly stable across national contexts. This chapter’s findings should prove useful to scholars interested in comparative methodologies of corpus analysis and rhetorical measures of disciplinary variation as well as those who work in or research writing in the disciplines. © 2023 John Benjamins Publishing Company."
Název v anglickém jazyce
DocuScope, multi-dimensional analysis, and student writing: Comparisons across tagging systems and corpora
Popis výsledku anglicky
"In this chapter, we present a method for comparing tagging systems and patterns of disciplinary variation in corpora of student writing. We begin by highlighting the affordances of rhetorically and linguistically informed tagging systems by highlighting similarities and differences in each system’s analysis of the Michigan Corpus of Upper-Level Student Papers (MICUSP). Results confirm that both taggers produce statistically robust results in distinguishing disciplines across three dimensions and also highlight commonalities and differences that reflect the taggers’ respective theoretical orientations. Then, we present the results of a DocuScope-driven comparison of the British Academic Written English (BAWE) and MICUSP corpora and summarize topical and rhetorical patterns of disciplinary writing that seem fairly stable across national contexts. This chapter’s findings should prove useful to scholars interested in comparative methodologies of corpus analysis and rhetorical measures of disciplinary variation as well as those who work in or research writing in the disciplines. © 2023 John Benjamins Publishing Company."
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
"Stud. Corpus Linguist."
ISSN
1388-0373
e-ISSN
—
Svazek periodika
109
Číslo periodika v rámci svazku
2023
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
38
Strana od-do
41-78
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85165170893