Learner Corpus Design is the systematic methodological framework that governs the construction and organization of a learner corpus, distinguishing itself by specifying criteria for learner text selection, learner proficiency levels, native language backgrounds, task types, error annotation schemes, and representativeness in second language acquisition research.
214
Publications
9.5K
Citations
389
Authors
189
Institutions
Publications per year
2017–2026
59
Parents
Publications
214
1–5 of 214
Authors
389
- SG
11
h-index
- FM
7
h-index
- GG
4
h-index
- NC
3
h-index
- MP
3
h-index
1–5 of 389
Institutions
189
UCLouvain
Louvain-la-Neuve, Belgium
9 h-index
9 publications
639 citations
Universidad de Granada
Granada, Spain
4 h-index
4 publications
92 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
8 publications
479 citations
Michigan State University
East Lansing, United States
3 h-index
3 publications
43 citations
Universidad de Zaragoza
Zaragoza, Spain
3 h-index
3 publications
101 citations
Georgia State University
Atlanta, United States
3 h-index
4 publications
257 citations
University of Tübingen
Tübingen, Germany
3 h-index
4 publications
220 citations
Charles University
Prague, Czechia
3 h-index
7 publications
128 citations
1–8 of 189
Venues
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))
Repository · 9 publications · 464 citations
9
h-index
- International Journal of Learner Corpus Research
10 publications · 481 citations
9
h-index
- CALICO Journal
6 publications · 303 citations
6
h-index
- International Journal of Corpus Linguistics
IJCL · 5 publications · 386 citations
5
h-index
- Computer Assisted Language Learning
5 publications · 191 citations
5
h-index
1–5