Learner Corpora in Language Testing and Assessment
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research. Identifying several desiderata for future research and practice, the volume presents a selection of original studies, covering a variety of different languages. It features studies that present very thoroughly compiled new corpus resources which are tailor-made and ready for analysis in LTA, new tools for the automatic assessment of proficiency levels, and new methods of (self-)assessment with the help of learner corpora. Other studies suggest innovative research methodologies of how proficiency can be operationalized through learner corpus data. The volume is of particular interest to researchers in (applied) corpus linguistics, learner corpus research, language testing and assessment, as well as for materials developers and language teachers.
[Studies in Corpus Linguistics, 70] 2015. vi, 220 pp.
Publishing status: Available
© John Benjamins
Table of Contents
Learner corpora in language testing and assessment: Prospects and challengesMarcus Callies and Sandra Götz | pp. 1–10
New corpus resources, tools and methods
The Marburg Corpus of Intermediate Learner English (MILE)Rolf Kreyer | pp. 13–34
Avalingua: Natural language processing for automatic error detectionPablo Gamallo Otero, Marcos Garcia, Iria del Río and Isaac González López | pp. 35–58
Data commentary in science writing: Using a small, specialized corpus for formative self-assessment practicesLene Nordrum and Andreas Eriksson | pp. 59–84
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communicationTim Marchand and Sumie Akutsu | pp. 85–112
Data-driven approaches to the assessment of proficiency
The English Vocabulary Profile as a benchmark for assigning levels to learner corpus dataAgnieszka Leńko-Szymańska | pp. 115–140
A multidimensional analysis of learner language during story reconstruction in interviewsPascual Pérez-Paredes and María Sánchez-Torneland | pp. 141–162
Article use and criterial features in Spanish EFL writing: A pilot study from CEFR A2 to B2 levelsMaría Belén Díez-Bedmar | pp. 163–190
Tense and aspect errors in spoken learner English: Implications for language testing and assessmentSandra Götz | pp. 191–216
Authors | pp. 217–218
Index | pp. 219–220
“This volume is a most welcomed addition to the research community of corpus linguistics and to that of applied linguistics, and will interest readers looking for applications for data-driven corpus linguistic studies and for readers focusing on both L1 and L2 proficiency and language testing and assessment. All chapters have a successful balance between detail and depth on the one hand, and brevity and relatively short chapters on the other hand.”
Signe-Anita Lindgrén, Åbo Akademi University, in ICAME Journal 40, 2016
“Overall, this book delivers what it sets out to do, which is to make “this emerg- ing new research eld, that is situated at the interface of LTA and learner corpus research, more visible to the corpus linguistics and applied linguistics research communities” (2015: 1). All contributors present clearly described original stud- ies based on a variety of learner and native corpora, with several new tools and various new methods introduced that will serve to increase the interdisciplinary collaboration between the elds of LCR, CL, and LTA. is edited collection of papers provides a coherent approach to the current and potential use of learner corpora for LTA. Despite a few minor shortcomings, this volume is accessible and very informative and should meet the needs of any researcher, teacher or language tester seeking contemporary studies about learner corpus-informed research in practice together with some inspiration to try out new approaches, methods, and corpora in their own contexts.”
Fiona Barker, Cambridge English Language Assessment, UK, in International Journal of Learner Corpus Research 3(1): 95-99
Cited by 5 other publications
2021. Chapter 6. Profiling learners through pragmatically and error annotated corpora. In Beyond Concordance Lines [Studies in Corpus Linguistics, 102], ► pp. 121 ff.
[no author supplied]
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Main BIC Subject
CFDC: Language acquisition
Main BISAC Subject
LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General