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…

Studies on inter-language in the second language acquisition field have been of paramount importance in recent years. In line with such studies, thus with this study we aim to show oral production samples of adult Arabic speakers of Turkish (N = 10) through elicited data in natural conversation settings, and to analyze the data morphosyntactically…

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…