Texts generated by artificial intelligence agents have been suggested as tools supporting students' learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the…

Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…

Over the last decades, applied linguistics and language teaching/learning have investigated language errors committed by learners for both diagnostic and prognostic purposes. Initially, error analysis was conducted manually and involved a limited number of corpus. However, computer software advancement has facilitated much larger amounts of data…

This study aims to demonstrate the need for learner-corpus-informed applications and proposes methods of application that promote the proper use of Korean topic and nominative markers. This study extracted 3004 pieces of error from the error-annotated corpus of the "Korean Learners' Corpus," the largest Korean learner corpus to date. A…

This article examines the use of prompt-based lexical collocations in opinion essays by Vietnamese English as a foreign language (EFL) students. Fifty second-year English majors at a Vietnamese university wrote 100 opinion essays on two topics as progress tests. The AntConc programme (Anthony, 2020) was employed to identify the frequencies of use…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…

Previous research in English as a Lingua Franca (ELF) has revealed that deviations in lexicogrammar are not always random, but a result of underlying communicative processes (Cogo & Dewey, 2012; Guziurová, 2020; Jafari, 2021; Ranta, 2013, 2022). Most previous studies relied upon spoken interactions, particularly in business and academic…

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…

The present study aimed to catalogue and compare usage patterns of verb-particle constructions (VPCs) in Modern Standard Arabic and English by native and learner writers. Building upon an analysis of a multi-genre monolingual Arabic corpus, use of both Arabic and English VPCs was explored in a bilingual L1 (first language) Arabic L2 (second…

The current study explores error fossilization in the academic writing of Saudi English as a Foreign Language (EFL) undergraduate learners. A manual textual analysis approach, employing corpus content analysis on writing across diverse genres including argumentative, expository, narrative, and descriptive essays was conducted to discover the…

The current study responds to the call for increased dialogue among different areas of additional language research. Specifically, we bring together learner corpus research and variationist approaches to second language acquisition to advance learner corpus research in two ways: (a) by modeling interlanguage development and variability and (b) by…

This study aims to examine how Chinese learners develop in their use and misuse of English modal verbs from Grade 7 to 9. Specifically, it examines form-function connections and explores the factors behind learners' development. The main focus is on the modal verbs "can," "could," "will," "would,"…

This study demonstrates how native and learner corpora can enhance modal verb treatment in English-as-a-foreign-language (EFL) textbooks used in mainland China. Data analysis compares modal verbs in the textbook and native corpus by referring to distributional features, semantic functions and co-occurring constructions; and the analysis of the…

This study was aimed at identifying the kinds and frequency of formal errors on Indonesian English as a Foreign Language (EFL) learners' descripting writing. Therefore, descriptive analysis research design was implemented to achieve the objective. The data were collected from the descriptive writing of university students in Indonesia (N = 40).…