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Daniel Sbastian; Gloria Putri Waang – Journal of English Teaching, 2025
Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…
Descriptors: Novels, Translation, Indonesian, English (Second Language)
Huixian Li; Yongyan Zheng – Language Teaching Research Quarterly, 2024
Complex Dynamic Systems Theory (CDST) has significantly reshaped our understanding of second language learning and teaching across the micro, meso, and macro levels for several decades since its systematic introduction by Larsen-Freeman and Cameron (2008). This study conducts a comprehensive review of empirical research on second language learning…
Descriptors: Systems Approach, Second Language Learning, Second Language Instruction, Teaching Methods
Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
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…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
While investigating plagiarism is relevant in different fields, verification of original authorship has also attracted attention in academia and L2 learning and assessment contexts. Generally associated with academic misconduct and dishonesty, plagiarism in writing can take many shapes and be hard to detect. In addition to being a very…
Descriptors: Plagiarism, Second Language Learning, Second Language Instruction, Authors
Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Siowai Lo – Computer Assisted Language Learning, 2025
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…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Ibrahim, Karim – Language Testing in Asia, 2023
The release of ChatGPT marked the beginning of a new era of AI-assisted plagiarism that disrupts traditional assessment practices in ESL composition. In the face of this challenge, educators are left with little guidance in controlling AI-assisted plagiarism, especially when conventional methods fail to detect AI-generated texts. One approach to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Satoru Uchida – Vocabulary Learning and Instruction, 2025
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…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Büsra Aras; Sultan Bozkurt; Serap Önen – Novitas-ROYAL (Research on Youth and Language), 2024
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…
Descriptors: Figurative Language, English (Second Language), Second Language Learning, Second Language Instruction
Dong-Ok Won; Yu Kyoung Shin; Ho-Jung Kim; Isaiah WonHo Yoo – Language Assessment Quarterly, 2025
Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…
Descriptors: Artificial Intelligence, Computer Software, Phrase Structure, Native Language
Toyese Najeem Dahunsi; Thompson Olusegun Ewata – Language Teaching Research, 2025
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…
Descriptors: Computational Linguistics, Discourse Analysis, English (Second Language), Second Language Learning
Su Tingting; Mohamed Abdou Moindjie; Manjet Kaur A/P Mehar Singh – Journal of Interdisciplinary Studies in Education, 2024
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…
Descriptors: Metalinguistics, Computational Linguistics, English, Language Usage
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2023
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.
Descriptors: Vocabulary Development, Psycholinguistics, Language Processing, Workshops
Zakaria, Azrifah; Renandya, Willy A.; Aryadoustc, Vahid – LEARN Journal: Language Education and Acquisition Research Network, 2023
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…
Descriptors: Computational Linguistics, Grammar, Reading Materials, Classification
Hanne Roothooft; Amparo Lázaro-Ibarrola; Bram Bulté – Language Teaching Research, 2025
Second language (L2) writing research has demonstrated that young learners discuss linguistic issues, make use of feedback, and show a generally positive disposition toward writing tasks. However, many issues deserve further investigation. Regarding task implementation, few studies have been conducted with young learners writing individually, and…
Descriptors: Error Correction, Feedback (Response), Accuracy, Writing Instruction