Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

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…

This study examines the use of English film subtitles to cultivate critical language awareness (CLA) and enhance language skills via a corpus-based approach. Creating and analyzing a specialized corpus of film subtitles reveals the cultural, social, and ideological dimensions of language usage. The findings show that film subtitles provide an…

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…

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…

The main objective of this Methods Showcase Article is to show how the technique of adaptive comparative judgment, coupled with a crowdsourcing approach, can offer practical solutions to reliability issues as well as to address the time and cost difficulties associated with a text-based approach to proficiency assessment in L2 research. We…

AI-generated paraphrasing tools, especially QuillBot and Paraphrasing Tool, play a crucial role in preventing plagiarism in academic writing. However, their effectiveness and proficiency have been questioned, particularly regarding the adequacy of their strategies. This qualitative study analyzed the paraphrasing strategies and proficiency levels…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…

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…

This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…

In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…

Artificial Intelligence (AI) has penetrated English language learning and teaching, and this penetration parallels a surge of research on its potential and challenges for learners and teachers altogether. This paper provides a glimpse of the status quo of generative (Gen) AI in contexts where English is not used natively. Adopting a holistic…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…