Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…

The New General Service List (NGSL; Browne, Culligan, & Phillips, 2013b) was published on an interim basis in 2013 as a modern replacement for West's (1953) original General Service List (GSL). This study compared GSL and NGSL coverage of a 6-year, 114-million word section of the Corpus of Contemporary American English (COCA), and used COCA…

Vocabulary learning is unarguably one of the sub-goals in every language classroom. The learning and teaching of vocabulary have been transformed by the development of general word lists, providing compilations of the most prevalent vocabulary items used in everyday contexts. These lists have made an invaluable contribution to the field of applied…

VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…

The current study examines the perceived naturalness of lexical bundles learned from early-stage teaching materials in Japanese learners of English. Naturalness ratings of 24 native English speakers and 23 non-native speakers with Japanese as their first language were compared in relation to corpus derived frequencies from the British National…