Intelligent Computing with Natural Language Processing

Authors

  • Jagjit Kaur
  • Simarjot Kaur
  • Anu .

Abstract

Abstract

Natural language processing is a branch of computer science and artificial intelligence which involve machines or robots to understand and process the language that human speaks or which is concerned with interaction between computer and human languages. Natural Language Processing put great efforts for making computer interfaces so that it will become easier to operate the machine through natural language rather than commands. There are various languages that support NLP like Python for example. Google assistant works on voice recognition for the natural language processing. A programming language makes our job easier to train a machine. The vast computer science field deals with the interactions between human language and computers that call it as Natural Language Processing, or NLP. NLP is a component of artificial intelligence (AI). NLP is a technique to examine, understand, and evaluate meaning of human language in a productive manner.  By using NLP, producers generate structure knowledge to perform specific tasks such as automatic summarization, translation, named entity recognition, sentiment analysis, voice recognition, and topic segmentation. NLP is compatible as a hard problem in computer science. Human language is rarely precise, or easily spoken. To understand human language is to understand not only the words, but the main focus is on pattern transformation or pattern matching. Although languages are considered being the easiest things for humans to learn, but on the same phase, it is considered to be a challenging task for the machine to understand human languages and to process it.

Keywords- Natural Language Processing (NLP), Artificial Intelligence (AI)

Cite this Article

Jagjit Kaur, Simarjot Kaur, Anu. Intelligent Computing with Natural Language Processing. Journal of Artificial Intelligence Research & Advances. 2019; 6(2): 63–68p.


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Published

2019-07-19

Issue

Vol. 6 No. 2 (2019)

Section

Research Articles

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