AI - Natural Language Processing

Data Science, AI and ML
#1

Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.

Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.

The field of NLP involves making computers to perform useful tasks with the natural languages humans use. The input and output of an NLP system can be −

  • Speech
  • Written Text

Components of NLP

There are two components of NLP as given −

Natural Language Understanding (NLU)

Understanding involves the following tasks −

  • Mapping the given input in natural language into useful representations.
  • Analyzing different aspects of the language.

Natural Language Generation (NLG)

It is the process of producing meaningful phrases and sentences in the form of natural language from some internal representation.

It involves −

  • Text planning − It includes retrieving the relevant content from knowledge base.
  • Sentence planning − It includes choosing required words, forming meaningful phrases, setting tone of the sentence.
  • Text Realization − It is mapping sentence plan into sentence structure.

The NLU is harder than NLG.