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NATURAL LANGUAGE PROCESSING
USING ARTIFICIAL INTELLIGENCE
Submitted By:-
Aditi Rana
A2305316090
B.Tech (IT-2X)
What is Artificial Intelligence??
Artificial Intelligence is the science of production machines and
portraying vigilantes programs, especially PC business. . As
hypotheses in brain theory, artificial intelligence (or AI) is the
idea that human mental states can be duplicated in mechanical
business management.
Natural Language Processing (NLP) is really exceptional
in class AI jobs. The Purpose of Natural Language
Processing (NLP) is to design and implement
programming that is split, recognize and render the
languages that people use from time to time, with the
goal that inevitably can cope with the PC as If they kept
an eye on someone else.
Objectives of Artificial Intelligence:
Applications in Different
Fields:
 To create expert systems
 To implement human intelligence in machines
 Gaming
 Natural Language Processing
 Expert Systems
 Intelligent Robots
NATURAL LANGUAGE PROCESSING
It refers to method of communicating with an intelligent
system using a natural language such as English.
It involves:
Making computers perform useful tasks with NL, humans
use.
Input and Output
Speech and Written Text
Components of NLP
 Natural Language Understanding:
It is mapping of the given input in NL into useful information
 Natural Language Generation:
It is the process of producing meaningful phrases and sentences in the form of NL
Steps in NLP
Lexical Analysis
Syntactic Analysis
Semantic Analysis
Disclosure Integration
Pragmatic Analysis
CHALLENGES IN NLP
Part of speech tagging
Text segmentation
Word text ambiguities
Syntax ambiguity
Imperfect of irregular input
Speech acts
OTHER ISSUES IN ARTIFICIAL INTELLIGENCE
Threat to privacy
Threat to safety
Threat to human dignity
Solution of the Problems
Disambiguation requires two strict information sources:
 A word reference to indicate the faculties which are to be
disambiguated
 A corpus of dialect information to be disambiguated
CONCLUSION
Intelligent agents must be able to set goals and achieve
them.
 They need a way to visualize the future and be able to
make choices.
The search of more efficient problem solving algorithms
is a high priority for AI research.
THANK YOU!!

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Natural Language Processing using Artificial Intelligence

  • 1. NATURAL LANGUAGE PROCESSING USING ARTIFICIAL INTELLIGENCE Submitted By:- Aditi Rana A2305316090 B.Tech (IT-2X)
  • 2. What is Artificial Intelligence?? Artificial Intelligence is the science of production machines and portraying vigilantes programs, especially PC business. . As hypotheses in brain theory, artificial intelligence (or AI) is the idea that human mental states can be duplicated in mechanical business management. Natural Language Processing (NLP) is really exceptional in class AI jobs. The Purpose of Natural Language Processing (NLP) is to design and implement programming that is split, recognize and render the languages that people use from time to time, with the goal that inevitably can cope with the PC as If they kept an eye on someone else.
  • 3. Objectives of Artificial Intelligence: Applications in Different Fields:  To create expert systems  To implement human intelligence in machines  Gaming  Natural Language Processing  Expert Systems  Intelligent Robots
  • 4. NATURAL LANGUAGE PROCESSING It refers to method of communicating with an intelligent system using a natural language such as English. It involves: Making computers perform useful tasks with NL, humans use. Input and Output Speech and Written Text
  • 5. Components of NLP  Natural Language Understanding: It is mapping of the given input in NL into useful information  Natural Language Generation: It is the process of producing meaningful phrases and sentences in the form of NL Steps in NLP Lexical Analysis Syntactic Analysis Semantic Analysis Disclosure Integration Pragmatic Analysis
  • 6. CHALLENGES IN NLP Part of speech tagging Text segmentation Word text ambiguities Syntax ambiguity Imperfect of irregular input Speech acts
  • 7. OTHER ISSUES IN ARTIFICIAL INTELLIGENCE Threat to privacy Threat to safety Threat to human dignity
  • 8. Solution of the Problems Disambiguation requires two strict information sources:  A word reference to indicate the faculties which are to be disambiguated  A corpus of dialect information to be disambiguated
  • 9. CONCLUSION Intelligent agents must be able to set goals and achieve them.  They need a way to visualize the future and be able to make choices. The search of more efficient problem solving algorithms is a high priority for AI research.