Natural Language Processing in AI: Language Interpreter

Authors

  • Sapna Sharma Department of Bachelor of Computer Application, Modern College, Business Administrative Campus, Pune, Maharashtra, India

Abstract

With the emergence of Artificial Intelligence in this technocrat world has led to the transformation in the world of technology. With the emergence of Artificial Intelligence it has led to different more technologies such as voice assistants which work for humans in order to make it easy in the workplace but in order to make it more of use and understandable. It has been proved to best suited for study of mathematical and computational modeling of various aspects of language. It widely includes a spoken language system which mainly integrates with speech and natural language. Natural Language Processing mainly focuses on the areas like Research and Language Text type of applications. It is being mentioned that Natural language is viewed in two terminologies as Rule based and Statistical based. Natural Language Processing has the base on heuristic search stemming with a tremendous root cause. Uses majority of English language rules and processing regulation for speechtual.

Keywords: Artificial Intelligence, Deep Learning, machine learning, Techniques of Natural Language Processing, Natural Language Processing, Lexical Input, Natural Language Generation, Natural Language Understanding.

Cite this Article: Sapna Sharma. Natural Language Processing in AI: Language Interpreter. Journal of Artificial Intelligence Research & Advances. 2020; 7(2): 21–27p.

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Published

2020-08-12

Issue

Vol. 7 No. 2 (2020)

Section

Research Articles

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