Natural Language Processing | Cognitive Science & AI | BSc.CSIT | 4th and 5th Semester

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natural language processingNatural Language Processing
Subject: Cognitive Science And AI | BSc.CSIT (TU)
Fourth And Fifth Semester | Tribhuvan University

Natural Language Processing
Perception and communication are essential components of intelligent behavior. They provide the ability to effectively interact with our environment. Humans perceive and communicate through their five basic senses of sight, hearing, touch, smell and taste, and their ability to generate meaningful utterances. Developing programs that understand a natural language is a difficult problem. Natural languages are large. They contain infinity of different sentences. No matter how many sentences a person has heard or seen, new ones can always be produced. Also, there is much ambiguity in a natural language. Many words have several meanings and sentences can have different meanings in different contexts. This makes the creation of programs that understand a natural language, one of the most challenging tasks in AI.

Developing programs to understand natural language is important in AI because a natural form of communication with systems is essential for user acceptance. AI programs must be able to communicate with their human counterparts in a natural way, and natural language is one of the most important mediums for that purpose. So, Natural Language Processing (NLP) is the field that deals with the computer processing of natural languages, mainly evolved by people working in the field of Artificial Intelligence.

Natural Language Processing (NLP), is the attempt to extract the fuller meaning representation from the free text. Natural language processing is a technology which involves converting spoken or written human language into a form which can be processed by computers, and vice versa. Some of the better-known applications of NLP include:

  • Voice recognition software which translates speech into input for word processors or other applications;
  • Text-to-speech synthesizers which read text aloud for users such as the hearing impaired;
  • Grammar and style checkers which analyze text in an attempt to highlight errors of grammar or usage;
  • Machine translation systems which automatically render a document such as a web page in another language.
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