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.

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.