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…

The present study empirically scrutinizes the fixed natural order of grammatical morphemes relying on a manual analysis of an EFL learner corpus. Specifically, we test whether the accuracy order of L2 grammatical morphemes in the case of L1 Turkish speakers of English deviates from Krashen's (1977) natural order and whether proficiency levels play…

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…

In the present study we investigate sentence production in the German interlanguage of Turkish students who have learned German as a first and English as a second foreign language. The students know both languages at an (advanced) intermediate level. Nevertheless, we observed some properties of the German interlanguage that seem to indicate an…