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Alexander Gelbukh Moscow, Russia

Alexander Gelbukh Moscow, Russia. Mexico. Computing Research Center (CIC), Mexico. Chung-Ang University, Korea Electronic Commerce and Internet Application Lab. Natural Language Processing. Alexander Gelbukh www.Gelbukh.com. What language is. Better communication with computers.

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Alexander Gelbukh Moscow, Russia

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  1. Alexander Gelbukh Moscow, Russia

  2. Mexico

  3. Computing Research Center (CIC), Mexico

  4. Chung-Ang University, KoreaElectronic Commerce andInternet Application Lab

  5. Natural Language Processing Alexander Gelbukh www.Gelbukh.com

  6. What language is

  7. Better communication with computers 0101011101010001101010111o101001011 VS. Persons are more productive when speaking their own language

  8. Accessibility of computers for all vs. It’s easier to teach one computer how to speak than teach generations of people how to use computers

  9. Better knowledge management vs. Computers are better than people at managing information

  10. Solution:Language understanding by computers

  11. Applications • Information retrieval (Internet search. Google) • Question Answering (Internet) • Information extraction (Fill a DB from newspapers) • Automatic translation • OCR, speech recognition • Natural Language Interfaces (robots, computers) • Interaction of agents • Thinking computers? • Think = speak

  12. Source of language complexity: 1-D

  13. Source of language complexity: 1-D

  14. Linguistic processortranslates between representations

  15. General scheme of text processing • Linguistic processor uses linguistic knowledge • Applied system uses other types of knowledge(e.g., Artificial Intelligence)

  16. Language levels • Morphological: words • Syntactic: sentences • Semantic: meaning • Pragmatic: intention • ...?

  17. Fine structure of linguistic processor

  18. Example of text “Science is importantfor our country. The Government pays it much attention.”

  19. Textual representation Text is a sequence of letters. S c i e n c e i s i m p o r t a n t f o r o u r c o u n t r y . T h e G o v e r n m e n t p a y s i t m u c h a t t e n t i o n .

  20. Morfological analysis Morphologicalanalysis

  21. Morphological representation A sequence of words.

  22. Syntactic parsing Syntacticparsing

  23. Syntactic representation A sequence of syntactic trees.

  24. Semantic analysis Semanticanalysis

  25. Semantic representation Complex structure of whole text

  26. The meaning “La ciencia es importante para nuestro país. El Gobierno le pone mucha atención.” “Science is important for our country. The Government pays it much attention.” There are good conditions for development of science in our country.

  27. Example: Translation

  28. Problems • Ambiguity of text • I see a cat with a telescope • Knowledge needed • Linguistic • About the world and life Good news • Learning from texts • Plenty of texts in Internet! • Good statistical methods

  29. Current state Working...

  30. Conclusiones • ¿Is it necessary? • ¿Is it simple? • ¿Is it possible? • ¿Has been done something? • ¿Has been done all? • ¿Where are people working on it?

  31. Thank you! www.Gelbukh.com

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