In this brief forum article, I draw from the disciplinary orientation of linguistic anthropology to discuss how a collection of linguistic and semiotic resources gets "enregistered" as the "language" for specific communicative activities. Enregisterment is an ongoing social and ideological process whereby a semiotic corpus gets…

Knowledge of derivational affixes makes an important contribution to second language learners' success when reading. Yet while the effects of some learner variables (L2 proficiency, L1 background) have been investigated, there has been little research addressing the effects of varying characteristics of affixes on their acquisition. The goal of…

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…

This study aims to provide a comprehensive profile of collocational competence, a key component of one's overall linguistic competence. For the maximum of ecological validity, we elicited naturalistic oral/written production data from 84 Chinese intermediate EFL learners and performed a 2×2 fashion of analysis on their performance in each of the…

Syntactic complexity has long been used to gauge language learners' performance, proficiency, and development, offering language teachers valid recommendations for syllabus design and materials development. Progress in syntactic complexity research foreshadows the imperative of measuring syntactic features at a high level of granularity, which…

Lexical proficiency in a second language (L2) has long been effectively assessed through the measurement of various lexical indices, or textual characteristics that act as observable indicators of such conceptual categories as lexical richness, diversity, sophistication, and fluency. While many studies have established links between these lexical…

This meta-analysis evaluated the effectiveness of data-driven learning (DDL) among low-proficiency L2 English learners, addressing the mixed results found in previous meta-analyses. The study incorporated 38 studies involving 2085 participants, yielding 37 effect sizes from control-experimental (C/E) studies and 42 from pre- and post-test (P/P)…

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…

Multi-word expressions are formulaic language universals with arbitrary and idiosyncratic collocations. Their usage and mastery are required of learners of a second language in achieving naturalness. However, despite the importance of multi-word expressions to mastering a second language, their syntactic architecture and colligational…

The present study investigates L1 and L2 English speakers' knowledge of the "wh"-clausal construction along the parameters of (a) conventionality, distinguishing between high-frequency conventional and low-frequency unconventional formulations ("I asked him why they agreed/why did they agree"), and (b) proposition type,…

With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…

This empirical investigation rigorously evaluated the teaching potential of Data-Driven Learning (DDL) for enhancing the ability of learners to apply 30 near-synonymous change-of-state verbs in two EFL Freshman English courses in a college setting across two semesters. In the study, 32 participants in the experimental group and 22 in the control…

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…

The purpose of this study is to analyze the grammatical complexity features of international teaching assistants' (ITAs) mock-teaching presentations and to compare the distributions of these features to those found in the Oral English Proficiency Test (a local ITA assessment), university classroom teaching, conversation, and academic writing. The…