Natural Language Processing in Artificial Intelligence
NLP's main objective is to provide computers the ability to do language-related activities including comprehending text, coming up with logical answers, extracting data, and communicating between languages.
Abstract
Natural Language Processing (NLP) is the study of how computers and human languages interact is the focus of the artificial intelligence (AI) field of natural language processing, or NLP. It encompasses a range of techniques and strategies intended to give robots the capacity to understand, interpret, and generate natural language in a way that is beneficial and appropriate for a number of applications. Natural language processing (NLP) has evolved tremendously in recent years thanks to the availability of large datasets, powerful computer power, and sophisticated machine learning models. Natural language, or spoken and written human communication, is extremely difficult because of its complexity, context-dependence, and intrinsic ambiguity. By creating models and algorithms that are capable of analyzing and interpreting natural language data, natural language processing (NLP) aims to close the understanding gap between human language and computers. NLP's main objective is to provide computers the ability to do language-related activities including comprehending text, coming up with logical answers, extracting data, and communicating between languages. To accomplish these goals, NLP incorporates concepts from multiple academic fields, including as statistics, computational science, machine learning, and linguistics.