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Can, 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
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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