Abstract : This chapter analyzes the future developments in Natural Language Processing (NLP), spanning improvements in NLP research, the transformative impact of NLP in healthcare, the function of NLP in personalization, and the expanding significance of NLP in multilingual communication. The trends in NLP research include transformer-based models, few-shot learning, multimodal NLP, and tackling bias and fairness. In healthcare, NLP is increasing clinical recording, diagnosis, patient involvement, and drug discovery. Personalization trends encompass content suggestion, virtual assistants, e-commerce, and personalized learning. Multilingual communication trends include translation services, cross-lingual comprehension, multilingual chatbots, and content localization. As NLP continues to improve, it provides great potential for societal reform.
Cite : Gouri, M. H., & Kumar, P. (2023). Future-Oriented Navigation: Patterns And Shifts In Natural Language Processing (NLP) (1st ed., p. 81). Noble Science Press. https://doi.org/10.52458/9789388996747.nsp2023.eb.ch-10
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