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The compilation of a developmental spoken English corpus of Turkish EFL learners
Author(s) -
Ece Genç-Yöntem,
Evrim Eveyik-Aydın
Publication year - 2021
Publication title -
research in corpus linguistics
Language(s) - English
Resource type - Journals
ISSN - 2243-4712
DOI - 10.32714/ricl.10.01.03
Subject(s) - interlanguage , turkish , computer science , corpus linguistics , linguistics , spoken language , natural language processing , artificial intelligence , philosophy
Although compiling a spoken learner corpus is not a recent enterprise, the number of developmental learner spoken corpora in the field of corpus linguistics is not satisfactory. This report describes the compilation of the Yeditepe Spoken Corpus of Learner English (YESCOLE), a 119,787-word corpus of Turkish students’ spoken English at tertiary level. YESCOLE was compiled to generate a developmental corpus of spoken interlanguage by collecting samples from learners of different English proficiency levels at regular short intervals over seven months. In order to shed light on the laborious methodology of compiling the developmental spoken learner corpus, this paper elucidates the steps taken to build YESCOLE and discusses its potential benefits for research and instructional purposes.

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