Vocabulary knowledge has been recognized as a crucial component in learning and teaching of both native and non-native learners, text understanding, and educational success (Coxhead, 2018; Saeedi et al., 2023; Schmitt et al., 2021), leading to the development of word lists for different purposes. Hence, this study aimed at developing a newspaper…

Research has indicated that lexical richness is an important indicator of second language (L2) proficiency. However, most research has examined written, cross-sectional English L2 corpora and does not necessarily indicate how spoken lexical use develops over time or whether observed trends are stable across L2s. This study adds to previous…

Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…

This study aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…

Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

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…

This paper examines to what extent paper-based data-driven learning (DDL) activities can improve Thai EFL students' vocabulary learning concerning three English synonymous adjectives, which are naughty, disobedient and rebellious, and explores the attitudes of the participants towards learning through the DDL activities. This study was a one-group…

This study explored the lexical coverage of corpus-based vocabulary lists (general, academic, and content-specific) across several million tokens gathered from digital science resources (DSR) for middle school (6-8 grade) students in the United States. The goal was to estimate the extent to which a combination of well-known word lists, mostly…

This research aimed to scrutinize and delineate the figures of speech manifesting in English hit songs. A selection of songs from Spotify's Top 30 Hit Songs List was chosen as the study material. The study employed a qualitative content analysis approach to classify the type and calculate the frequency of the figures of speech within the corpus of…

This study explored words in materials science research articles using New Academic Word List (NAWL) and New General Service List (NGSL) created by Browne at al. (2013) as reference lists. The objectives of this research were to explore the frequency and coverage of the NAWL and the NGSL in materials science research articles and identify…

This study analyzes four English synonyms -- clear, obvious, apparent, and evident -- concentrating on meanings, distribution across genre, collocations, and semantic preference and prosody. The data were drawn from learner's dictionaries and the Corpus of the Contemporary American English (COCA). It was discovered that the four synonyms share the…

This paper is part 3 of a series of workshops that examine the properties of some simple models vocabulary networks. This Workshop focusses on how the vocabulary network responds when words become easier to activate. The Workshop is linked to an on-line practice room where readers can explore these processes for themselves.

Studies on graded readers used in extensive reading have tended to focus on vocabulary. This study set out to investigate the linguistic profile of graded readers, taking into account both grammar and lexis. A corpus of 90 readers were tagged according to the variables in Biber's Multidimensional (MD) analysis, using the Multidimensional Analysis…

Recently there has been some debate about the appropriacy of different lexical units in pedagogy and research (e.g., Brown et al., 2020; Dang & Webb, 2016a; Kremmel, 2016; Laufer & Cobb, 2020; McLean, 2018; Nation, 2016; Nation & Webb, 2011; Vilkaite-Lozdiene & Schmitt, 2020). The lexical unit (word types, lemmas, flemmas, word…

Hands-off data-driven learning is a data-based, student-oriented learning model characterized by inquiry and discovery. English context vocabulary teaching is the key to English teaching in colleges and an important indicator to evaluate the quality and level of college English teaching, which is a language teaching paradigm focusing on the…