ARTIFICIAL INTELLIGENCE DISCOURSE IN MODERN LINGUISTICS: THE LINGUISTIC STATUS OF PROMPTS AS TEXT AND COMMUNICATIVE ACT

This research looks at a new area of artificial‑intelligence communication: the role of prompts when people talk to large language models (LLMs). As generative AI tools become a regular part of software workflows, it is important to treat prompts as real language pieces, not just code. The study combines computational linguistics with cognitive‑pragmatic analysis. It examines prompts using ideas from speech‑act theory, text‑structure rules, cohesion, and coherence. By checking their syntax and structure, the work shows that prompts are more than simple commands—they are complex communicative acts that steer a model’s behavior. For M.Tech students, the paper offers a theoretical base for building, classifying, and improving prompt designs in a

systematic way. A key limitation is that the paper focuses on high‑level linguistic categories and does not include benchmark tests on a wide range of LLM architectures. Future engineering projects can use the linguistic criteria presented here to create structured prompt‑evaluation frameworks. This should help align meaning more closely and cut down on ambiguity in human‑AI interactions.

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