Large Language Models and Prompt Engineering in Linguistics
Using neural network technologies in determining the emotional state of a person in oral communication
Volume 10, Issue №4, 2024
Human oral speech often has an emotional connotation; this is due to the fact that emotions and our mood influence the physiology of the vocal tract and, as a ...
Combining the tasks of entity linking and relation extraction using a unified neural network model
Volume 10, Issue №4, 2024
In this paper we describe methods for training neural network models for extracting pharmacologically significant entities from natural language texts with their further transformation into a formalized form of ...
Using CNN and LSTM neural networks for Arkhangelsk dialect word identification and classification
Volume 10, Issue №4, 2024
The study of dialects provides an opportunity to gain an understanding of the culture and history of a people, which are reflected in language. Dialectal vocabulary differs from standard ...
Artificial vs human intelligence: a case study of translating jokes based on wordplay
Volume 10, Issue №4, 2024
Artificial intelligence (AI) technologies used in professional translation question the effectiveness of human-AI interaction. Deep learning can mimic human cognitive processes, accordingly suggesting that AI could reproduce the logic ...
Prompt injection – the problem of linguistic vulnerabilities of large language models at the present stage
Volume 10, Issue №4, 2024
The article examines the phenomenon of “prompt injection” in the context of contemporary large language models (LLMs), elucidating a significant challenge for AI developers and researchers. The study comprises ...
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