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

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

Natural Language Understanding
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 meaning such as can, bear, fly, bank etc, and sentences have different meanings in different contexts.

Example :- a can of juice. I can do it.

This makes the creation of programs that understand a natural language, one of the most challenging tasks in AI. Understanding the language is not only the transmission of words. It also requires inference about the speakers’ goal, knowledge as well as the context of the interaction. We say a program understand natural language if it behaves by taking the correct or acceptable action in response to the input. A word functions in a sentence as a part of speech. Parts of the speech for the English language are nouns, pronouns, verbs, adjectives, adverbs, prepositions, conjunctions and interjections. Three major issues involved in understanding language.

  • A large amount of human knowledge is assumed.
  • Language is pattern based, phonemes are components of the words and words make phrases and sentences. Phonemes, words and sentences order are not random.
  • Language acts are the product of agents (human or machine).
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