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Speech, Natural Language Processing and the Web/Topics in AI Programming (Lecture 1 – Introduction) Ravichander Reddy MGT Dept., RGMR Bangalore
Persons involved ,[object Object],[object Object]
Time and Venue ,[object Object],[object Object],[object Object]
Perpectivising NLP: Areas of AI and their inter-dependencies Search Vision Planning Machine Learning Knowledge Representation Logic Expert Systems Robotics NLP AI is the forcing function for Computer Science
Web brings new perspectives: QSA Triangle Search Analystics Query
What is NLP ,[object Object],[object Object],[object Object],[object Object]
The famous Turing Test: Language Based Interaction Machine Human Test conductor Can the test conductor find out which is the machine and which the human
Inspired Eliza ,[object Object]
Inspired Eliza (another sample interaction) ,[object Object]
Ambiguity This is what makes NLP challenging: The Crux of the problem
Stages of language processing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Phonetics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Morphology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lexical Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lexical Disambiguation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Technological developments bring in new terms, additional meanings/nuances for existing terms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Syntax Processing Stage ,[object Object],S NP VP V NP I like mangoes
Challenges in Syntactic Processing: Structural Ambiguity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Structural Ambiguity… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Higher level knowledge needed for disambiguation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Headache for Parsing: Garden Path sentences ,[object Object],[object Object],[object Object],[object Object]
Semantic Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pragmatics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discourse ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Complexity of Connected Text ,[object Object],He couldn’t control the class Teacher shouldn’t have made him responsible After all he is just a janitor
Two Views of NLP ,[object Object],[object Object]
Books etc. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Lec 1

  • 1. Speech, Natural Language Processing and the Web/Topics in AI Programming (Lecture 1 – Introduction) Ravichander Reddy MGT Dept., RGMR Bangalore
  • 2.
  • 3.
  • 4. Perpectivising NLP: Areas of AI and their inter-dependencies Search Vision Planning Machine Learning Knowledge Representation Logic Expert Systems Robotics NLP AI is the forcing function for Computer Science
  • 5. Web brings new perspectives: QSA Triangle Search Analystics Query
  • 6.
  • 7. The famous Turing Test: Language Based Interaction Machine Human Test conductor Can the test conductor find out which is the machine and which the human
  • 8.
  • 9.
  • 10. Ambiguity This is what makes NLP challenging: The Crux of the problem
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.