Current LLMs still cannot 'talk much' about grammar modules: Evidence from syntax
We aim to examine the extent to which Large Language Models (LLMs) can 'talk much' about grammar modules, providing evidence from syntax core properties translated by ChatGPT into Arabic. We collected 44 terms from generative syntax previous works, including books and journal articles, as well as from our experience in the field. These terms were translated by humans, and then by ChatGPT-5. We then analyzed and compared both translations. We used an analytical and comparative approach in our analysis. Findings unveil that LLMs still cannot 'talk much' about the core syntax properties embedded in the terms under study involving several syntactic and semantic challenges: only 25% of ChatGPT...
| Authors | Mohammed Q. Shormani, Yehia A. AlSohbani |
|---|---|
| Primary category | cs.CL |
| Published | 20 March 2026 |
| Last updated at source | 8 April 2026 |
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