Natural language processing


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My presentation on Natural Language Processing and Machine Vision

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Natural language processing

  1. 1. Prepared By: Yogendra Tamang BEX-066-448
  2. 2. OUTLINES  Introduction  Level of Analysis  Phonetic  Syntactic  Semantic  Pragmatic  Introduction to Machine Vision
  3. 3. “The man who knows no foreign language knows nothing of his mother tongue” -Johan Wolfang Von Geothe(1749-1932) German Poet, Playwright and Philosopher
  4. 4. What is Language??? Representing your understanding
  5. 5. language spoken by people, e.g. English, Nepali, Spanish, as opposed to artificial languages, like C++, Java, etc.
  6. 6. Background -Understanding???? Process of mapping from input form into a more useful form…. -Language???? A pair(source language, target representation) together with a mapping between elements of each other
  7. 7. Natural Language Processing 1.What does the written/spoken sentence mean?(Natural Language Understanding) 2.What is to be represented and how to express it in natural language(Natural Language Generation)
  8. 8. Natural Language Understanding Raw Speech Signal Sequence of Word Spoken Speech Recognition(phonetic) Structure of Sentence Syntactic Analysis Partial Representation of meaning of sentence Semantic Analysis Final Representation of meaning of sentence Pragmatic Analysis
  9. 9. Phonetic Analysis Input Analog signal Frequency Spectrogram time
  10. 10. Phonetic Analysis Constructing words from Phonemes through frequency spectrogram Eg. th+i+ng=thing Phoneme Database is used
  11. 11. Syntactic Analysis i. Exploits result of Phonetic Analysis ii. Builds Structural description of Sentence. iii. Flat input sequence is converted into hierarchical structure(parsing).
  12. 12. Syntactic Analysis 1. Grammar: 2. Parser: A declarative Representation A procedure
  13. 13. Syntactic Analysis “Krishna ate the apple” sentence noun_phrase proper_noun verb_phrase verb noun_phrase determiner “Krishna” “ate” “the” noun “apple”
  14. 14. Semantic Analysis Generates partial meaning/representation from its syntactic structure
  15. 15. Semantic Analysis “plant” = industrial plant “plant” = living organism Importance of semantics?????
  16. 16. Semantic Analysis The sea is at the home for billions factories and animals The sea is home to million of plants and animals
  17. 17. Pragmatic Analysis Uses context of utterance Where, by who, to whom, why, when it was said Intentions: inform, request, promise, criticize, … Handling Pronouns “Kusum eats apples. She likes them.” She=“Kusum”, them=“apples”.
  18. 18. Machine Vision worldwide industrial quality control and supervision technology.
  19. 19. Machine Vision -- Consists of optical sensors, cameras for detection of faults -- Being used for industries for last 20 years
  20. 20. Machine Vision 3 Systems 1. Sensing and Digitizing image data 2. Image processing and analyzing 3. Applications
  21. 21. References:  Rich, Knight, Nair, ”Artificial Intelligence, 3rd edition, McGraw Hill Education   
  22. 22. !!!!!Thank You!!!!!!!!!