Advancements in Natural Language Processing: A Survey
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Abstract
Natural Language Processing (NLP) is a crucial subfield of artificial intelligence (AI) that enables machines to understand, interpret, and generate human language. This research paper presents a survey of recent advancements in NLP techniques, including transformer models, pre-trained language representations, and deep learning architectures. By synthesizing existing literature and analyzing key methodologies, this paper highlights the state-of-the-art approaches in NLP and discusses their applications in various domains such as chatbots, sentiment analysis, and machine translation.
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