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Author : Dr Aadam Quraishi
Genre : Computers
Summary : Within the realm of Artificial Intelligence (AI), Natural Language Processing (NLP) is an essential subfield that enables machines to comprehend, interpret, and produce human language. Computers are able to analyze unstructured written and spoken data more effectively because to natural language processing (NLP), which is a combination of computational linguistics, machine learning, and deep learning approaches. Applications of this technology include sentiment analysis, machine translation, chatbots, information retrieval, and question- answering systems. These applications have the potential to dramatically revolutionize an array of industries, including healthcare, education, banking, and customer service. Understanding context, sarcasm, ambiguity, and multilingual processing are only few of the issues that continue to exist despite the enormous gains that have been made. An examination of the development, techniques, and modern applications of natural language processing (NLP) is presented in this article. Particular attention is paid to the transformational influence that NLP has had on AI- driven communication and human-computer interaction. Additionally, continuing research areas for improving language interpretation and generation are highlighted. The development of natural language processing (NLP) may be broken down into many eras, beginning with symbolic techniques in the 1950s and 1960s. During this time period, language processing was primarily dependent on rules and grammars that were constructed. Machine translation and basic syntactic parsing were the primary focuses of the early efforts involved. The intricacy and diversity of real language, on the other hand, made these ideas more difficult to implement. The decade of the 1980s and the decade of the 1990s saw the growth of statistical approaches, which made use of probabilistic models like Hidden Markov Models (HMMs) and Conditional Random Fields (CRFs) to enhance tasks such as voice recognition, named entity