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…

It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word. A data set of BTAVs was ranked using a statistical classification. Four categories of BTAVs were identified, out of which 153 BTAVs (86.44%) are classified into a…

This dissertation developed a new learner corpus of Japanese and introduced an error and linguistic annotation scheme specifically designed for Japanese particles. The corpus contains texts written by learners who are in the first year to fourth year university level Japanese courses. The texts in the corpus were tagged with part-of-speech and…

Heritage speakers (HS) have been shown to experience difficulties with inflectional morphology (particularly with irregular morphology) and to frequently overapply regular morphology. The present study seeks to get further insight into the inflectional processes of HS by investigating how these are generalized to nonce words in language…

This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…

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…

In recent years, the shift in the teaching approaches employed in Thai English as a Foreign Language (EFL) classroom provides new opportunities and challenges to the teachers and students form Generation Z (1995-2009) and Generation Alpha (2010-2024). This study examines verb errors among Thai EFL learners from Generation Z and Generation Alpha to…

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…

Freshman students at the College of Languages and Translation received direct instruction in plural formation. Instruction covered regular plural nouns, irregular plural nouns, plural formation of words ending in -f, and -o, nouns that have the same plural and singular form, and words with Latin and foreign plurals. The students did all the…

Research utilizing morphological priming has found that L2 speakers show facilitation from derived L2 primes, which could suggest morphological processing during derived L2 word recognition. However, the process of L2 derived word recognition is still poorly understood, with some arguing that the observed priming effects may not be morphological…

Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

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…

This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…