USING A CONCORDANCER TO FOSTER DATA-DRIVEN LEARNING AND GENERATE TASKS FROM THE ENGLISH WOODEN LANGUAGE .

Autor: ÇYFEKU, Juliana
Předmět:
Zdroj: Scientific Bulletin. A Series, Philology Fascicle / Buletin Ştiinţific. Seria A, Fascicula Filologie; 2022, Issue 31, p17-32, 16p
Abstrakt: This study reflects the use of corpora in English vocabulary learning and the benefits of using concordancers and KWICs to EFL students at university level. It provides an overview of the impact that DDL on the web exerts in order to concretely and fully define a word. It highlights how to delve with the wooden structure vocabulary displays in corpora lines and how to facilitate communication in English by exploring and analyzing the various meanings and transformations words may undertake in oral and/or written discourse. Targeted at EFL students at university level, the study introduces a range of tasks that may be considered as a newspeak resource for language practitioners and English language learners. The tasks can be generated from Lextutor Concordancer, which is part of a Compleat Lexical Tutor, a multi-faceted, web-based language resource for data-driven language learning developed by Cobb (2000). [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index