Cognitive Science > Statistical Natural Language Processing

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  1. A bird's eye view on SNLP
  2. Introduction & Overview
  3. Probability & Information Theory
  4. Markov Models & Weighted FSA
  5. Probability Estimation & Smoothing
  6. HMM & POS tagging
  7. Unsupervised Training (EM)
  8. Probabilistic CFG & Statistical Parsing
  9. Naive Bayes & EM without tears
  10. The Noisy Channel Model & SMT
  11. Course Summary & Outlook
  12. Summarizing Homework
Source: http://wiki.stuhlmueller.info/Cognitive_Science/Statistical_Natural_Language_Processing
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Last modified 10 February 2008 by Lena. Based on work by Corinna and Anonymous user(s).