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Download full textCan, Cem – Journal of Education and Training Studies, 2018
This paper illustrates the use of learner corpus data (extracted from Cambridge Learner Corpus--CLC) to carry out an error analysis to investigate authentic learner errors and their respective frequencies in terms of types and tokens as well as contexts in which they regularly occur across four distinct proficiency levels, B1-B2; C1-C2, as defined…
Descriptors: Foreign Countries, Error Patterns, Language Proficiency, Language Usage
Direct linkLay, Keith John; Yavuz, Mehmet Ali – SAGE Open, 2020
This study investigates the effect of grammar-focused hands-on in-class data-driven learning (DDL) with a heavily contextualized corpus on the frequency of written errors attributable to common interlingual interference issues in low-intermediate Turkish learners (n = 30) of English. Items representing the most common Turkish-to-English…
Descriptors: Interference (Language), English (Second Language), Second Language Learning, Interlanguage
Can, Cem – Journal of Education and Training Studies, 2017
As learner corpora have presently become readily accessible, it is practicable to examine interlanguage errors and carry out error analysis (EA) on learner-generated texts. The data available in a learner corpus enable researchers to investigate authentic learner errors and their respective frequencies in terms of types and tokens as well as…
Descriptors: Verbs, Computational Linguistics, English (Second Language), Second Language Learning
