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This course discusses computational linguistics and recent challenges and developments.

Everyone from Google to Microsoft is looking for a way to a way to make computers more communative with humans. After a successful demonstration of IBM's computer named Watson beating out two of Jeopardy's most successful competitors much attention has been given to NLP. This course discusses the challenges and successes in NLP.

Tags

  • nlp
  • python
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  • Participants
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People


robwahl (organizer) Tino Dai (participant) Damiens ROBERT (participant) Vance (participant) Alex (participant) Dawny (participant) moon2l (participant) HyperboleJoe (participant) 0quesevayantodos0 (participant) yang61 (participant) mirorakonto (participant) BSDandEspresso (participant) Tahashin (participant) amogh (participant) RM (participant) MarciTorres (participant) Yousuf (follower) Jessy Kate Schingler (follower) aLocalGirl (follower) nlingutla (follower) cmrlj (follower) Robot (follower) #0d98ba (follower) Logan (follower) emvise (follower) Dave Summers (follower) kingman (follower) Procesd (follower) elizabeth7888 (follower) Amy Busch (follower)

Tasks


  • Introduction Questions
  • Major shareholders in NLP
  • Introduction Vocabulary
  • Vocabulary 2
  • English as a Moving Target
  • What is hard about NLP
  • Markov Chains
  • Classification and clustering (Bayesian)
  • Sentence levels and well formed Taxonomy
  • N-gram
  • Frequent Word Searches
  • Hierarchical clustering
  • Quantitative Linguistics
  • Latent Semantic Analysis
  • Zipf's Law
  • Future Research
  • Works Cited

External Links


  • Natural Language Processing with Python
    HyperboleJoe
    HyperboleJoe at Into to NLP in Python
    posted comment at Introduction Questions.
    17 Sep 2012 via courses.p2pu.org

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