THE INTERSECTION OF ARTIFICIAL INTELLIGENCE AND LINGUISTICS: EXPLORING THE FRONTIER OF NATURAL LANGUAGE PROCESSING
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Key words: Natural Language Processing (NLP), linguistics, artificial Intelligence (AI), transformer-based models, syntax, semantics, pragmatics, ethical considerations, societal implications, multimodal inputs, conversational agents, interdisciplinary collaboration.Аннотация
Annotation. This article provides a comprehensive overview of the field of natural language processing (NLP), drawing on a diverse array of sources and insights to elucidate key concepts, recent advancements, and ethical considerations. Then delves into recent breakthroughs in AI and NLP, with a particular focus on transformer-based models like BERT and GPT. Drawing on academic papers, blog posts, and industry announcements, the author provides a comprehensive overview of these cutting-edge models and their implications for language understanding and generation. Furthermore, the article explores the ethical and societal implications of widespread NLP adoption, addressing concerns such as bias in language models, privacy implications, and potential job displacement. By synthesizing insights from diverse perspectives, the author offers a nuanced analysis of the complex ethical considerations surrounding AI and NLP technologies. By incorporating insights from academic research, industry developments, and interdisciplinary perspectives, the author provides a forward-thinking exploration of emerging trends and opportunities in the field of NLP.
Overall, this annotation serves as a valuable resource for researchers, practitioners, and policymakers seeking to deepen their understanding of NLP and navigate the ethical and societal implications of AI-powered language technologies. Through its comprehensive analysis and interdisciplinary approach, the annotation offers valuable insights into the transformative potential of AI and NLP in shaping the future of communication and information technology.
