Natural Language Processing (NLP) is the branch of computer science which involves the use of computers or automatic machines to process natural or human languages in textual as well as audio form in a similar manner as humans do. It is the application of computational techniques to learn, understand, and produce human language content [1]. The main aim of Natural Language Processing is the design & development of software tools with capability of generation, understanding, and analyzing natural or human languages. Natural Language Processing has emerged as a combination of artificial intelligence and linguistics since 1950s [2]. NLP which mainly expounds on how a machine or computer may be used to interpret and manipulate natural languages is considered to be a very significant and essential research area in Computer Science and Computational Linguistics. NLP has its roots in many disciplines, including information science, computer science, mathematics, linguistics, and so on [3]. It combines various frameworks such as rule-based, statistical, and machine learning approaches to strive for efficiency across different parameters of interest. Integrating various such approaches provide a better understanding of the content involved and help in processing the content with good accuracy. Natural Language Processing is focused to make computer programs, procedures, applications that translate text across different languages, be responsive to spoken content, text summarization, etc. The languages which are the hallmark of cultural diversity are ambiguous in nature [6], therefore it becomes challenging to create procedures that will accurately decipher the actual meaning of text or voice content.
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