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Analysis of the current state of natural language processing

Abstract:

Natural language processing (NLP) is shown in different ways such as linguistic computing; automatic translation of information search systems; synthesis automation; natural language interfaces, thus helping systems to understand people’s natural language. Recently this field of research is very active. NLP focuses on inspecting models and interpreting text links to effectively examine large volumes of data. A machine to display information to a person must have the ability to handle human language, through processes of a high level of complexity. The development of innovative techniques has led to great creations such as Alexa, Amazon’s voice assistant; the Google search engine; the Spotify system; and many others, where the effectiveness of NLP systems can be evaluated.