Native & learner language in interviews

This talk discusses some of our findings in

Pérez-Paredes, P., & Sánchez Tornel, M. (2015). A multidimensional analysis of learner language during story reconstruction in interviews. In M. Callies & S. Götz (Eds.), Learner Corpora in Language Testing and Assessment. Amsterdam: John Benjamins.

 

LINDSEI: the Turkish component

LINDSEI-TR: A New Spoken Corpus of Advanced Learners of English
By Abdurrahman Kilimci

Cukurova University, Faculty of Education, English Language Teaching Department, Balcalı, Adana, Turkey

Abstract

The aim of the present study is to describe the LINDSEI-TR, the Turkish component of the LINDSEI (the Louvain International Database of Spoken English), which was initiated to compile a corpus of spoken data produced by learners from varied mother tongues (Gilquin et al., 2010). In this respect, the main objective of the study is to present the aim, development, and the design criteria of the corpus along with its quantitative and qualitative characteristics. The corpus is considered to be of value to researchers in terms of delineating the features of learners’ spoken interlanguage and designing teaching materials to improve second language teaching and learning.

Keywords: Corpus linguistics, spoken corpus, interlanguage, second language teaching and learning