COMPUTER LINGUISTICS, NATURAL LANGUAGE PROCESSING, AND ARTIFICIAL INTELLIGENCE RESEARCH IN LANGUAGES

Abstract

The research investigates the use and effects of ChatGPT across various areas of natural language processing, including question-answering systems, dialogue systems, text generation, machine translation, speech to text, text to speech, and speech recognition. The results indicate that ChatGPT improves performance in these areas while also creating new research opportunities and challenges for computational linguistics in the era following its introduction. The study details different types of strategies for optimizing natural language understanding and generation, particularly for low-resource languages and specialized domains. Additionally, it offers recommendations for future research, highlighting the significance of model intractability, reliability, and the social implications of language technologies. Ultimately, the insights and suggestions from this study aim to serve as valuable resources for ongoing research in theory of languages, cross-cultural communication, computational linguistics and natural language processing.