Findings indicate that the ChatGPT, Gemini, and Claude models generate academic Spanish through differentiated syntactic configurations, suggesting that dependency-based syntactic profiling can support the interpretation of AI-assisted academic writing, inform rubric refinement for academic Spanish, and provide transpa...
E. Vázquez-Cano· Language Education & Ass...· 0 citations
Grammatical accuracy remains a significant challenge for EFL learners in Myanmar, where limited access to individualized feedback, resource constraints, and L1 interference from Burmese hinder writing development. Automated Writing Evaluation (AWE) tools such as Grammarly offer a potential solution by providing immedia...
While various organizations now actively encourage LLM use in classrooms, we still lack rigorous, systematic evaluations of how well these models actually perform the fundamental tasks of language pedagogy. This paper examines whether state-of-the-art LLMs can deliver the kind of corrective feedback and methodological...
Kristina Šekrst, A. Kovačič· Oxford Intersections: AI in...· 0 citations
While large language models (LLMs) are increasingly used across social domains, current bias evaluations often rely on demographic proxies such as names, pronouns, and social categories. Linguistic variety itself receives less attention as an evaluative variable. This study therefore uses sociolinguistic variety to exa...
Awad Alshehri, Najla Jaballah· Journal of Intelligent Decis...· 0 citations
Turkish scholars, like many non-native English speakers, routinely translate manuscripts written in their first language before submitting them to international journals, a practice that leaves linguistic traces even in grammatically sound texts. This study examines that residue, commonly termed translationese, in the...
Mustafa Dolmacı· Language Teaching and Educat...· 0 citations
The availability of Large Language Models (LLMs) reshaped scientific discourse at a linguistic level. LLMs are assumed to homogenize academic writing, flattening it into a single generic lexical register. To understand how CHI writing has changed since the public release of LLMs, we analyzed full texts of 14,262 archiv...
Thomas Kosch, Robin Welsch, Michael A. Hedderich et al.· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
