Vocabulary, Corpus and Language Teaching A Machine-Generated Literature Overview

This book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing the importance of ESL/EFL vocabulary and corpus studies. It is a new publication format in which state-of-the-ar...

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Bibliographic Details
Other Authors: Udaya, Muthyala (Editor), Reddy, Chada Ramamuni (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2024, 2024
Edition:1st ed. 2024
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:This book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing the importance of ESL/EFL vocabulary and corpus studies. It is a new publication format in which state-of-the-art computer algorithms are applied to select the most relevant articles published in Springer Nature journals and create machine-generated literature reviews by arranging the selected articles in a topical order and creating short summaries of these articles. This comprehensive book explores ESL/EFL vocabulary and corpus studies from five main perspectives: acquisition, strategies, ICT, corpus, and current practices. The sections delve into topics such as the impact of technology on learning, the power of corpora in language education, and innovative vocabulary-development techniques. This book is an essential resource for researchers, educators, and language facilitators seeking a deeper understanding of vocabulary within ESL/EFL teaching and learning contexts
Physical Description:VII, 145 p. 1 illus online resource
ISBN:9783031459863