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Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
The National Programme on Technology Enhanced Learning (NPTEL) is an Indian e-learning platform for university-level science, technology, engineering, and mathematics (STEM) subjects. NPTEL is the largest e-repository in the world of courses in engineering, basic sciences and selected humanities and management subjects. [1]
His research areas are Natural Language Processing, Artificial Intelligence, Machine Learning, Psycholinguistics, Eye Tracking, Information Retrieval, and Indian Language WordNets - IndoWordNet. A significant contribution of his research is Multilingual Lexical Knowledge Bases like IndoWordNet and Projection.
In natural language processing, two prominent instances of the algorithm are the Baum–Welch algorithm for hidden Markov models, and the inside-outside algorithm for unsupervised induction of probabilistic context-free grammars.
Natural language processing has made inroads for applications to support human productivity in service and e-commerce, but this has largely been made possible by narrowing the scope of the application. There are thousands of ways to request something in a human language that still defies conventional natural language processing.
Natural language processing, a field of computer science and linguistics Neuro-linguistic programming , a pseudoscientific method aimed at modifying human behavior Computer programming
In designing an artificial intelligence agent, it was soon realized that representing common-sense knowledge, knowledge that humans simply take for granted, was essential to make an AI that could interact with humans using natural language. Cyc was meant to address this problem. The language they defined was known as CycL.
Areas that have used ITS include natural language processing, machine learning, planning, multi-agent systems, ontologies, Semantic Web, and social and emotional computing. In addition, other technologies such as multimedia, object-oriented systems , modeling, simulation, and statistics have also been connected to or combined with ITS.