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 choice of word counting units (i.e. word family, flemma, or lemma) is of great importance in vocabulary list and test creation, as there are assumptions underpinning the use of each. Flemma-based counting assumes that if a learner can understand the meaning of a word in one part of speech (POS), they can also understand its meaning when the…

This article describes the development of a tense and aspect identifier, an online tool designed to help learners of English by harnessing a natural language processing pipeline to automatically classify verb groups into one of 12 grammatical tenses. Currently, there is no website or application that can automatically identify tense in context,…

The aim of this study was to find ways to improve online reading and vocabulary learning. Various new types of online reading comprehension and vocabulary development programs and tests were compared in this study to consider how useful they may be for guiding individual or classroom L2 vocabulary instruction. It explored how these programs seek…