Open AccessA CORPUS-BASED STUDY ON THE EDUCATION-RELATED TED TALKS BETWEEN NATIVE AND NON-NATIVE SPEAKERS
Author(s) -
Hieu Manh
Publication year - 2021
Publication title -
european journal of foreign language teaching
Language(s) - English
Resource type - Journals
ISSN - 2537-1754
DOI - 10.46827/ejfl.v5i3.3577
Subject(s) - sentence , word (group theory) , linguistics , meaning (existential) , listing (finance) , first language , computer science , natural language processing , psychology , philosophy , finance , economics , psychotherapist
This study aims to find out the frequency word lists in the TED talks in the education field as well as the comparison of the language used by native speakers (NS) and non-native speakers (NNS). The researcher collected four transcripts (two from NS and the others two from NNS) from the TED talks. AntConc is the main software that would be used to investigate the frequency word lists. Data collection includes two steps: (1) collecting the four transcripts of TED talks and (2) listing top 10, 20, and 100 frequency word lists of TED talks corpus of NS and NNS, separately. The findings found that both speakers usually use functional words more than content words. However, content words play a pivotal role in making a full meaning sentence.
Article visualizations: