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Learn about integrating GHHM library in Python, Entropy, Maximum Entropy Modelling techniques, and NLTK-Taggers II. Dive into the computational complexities and hidden Markov models for NLP.
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Lecture 10Maximum Entropy Modelling MaxEnt CSCE 771 Natural Language Processing • Topics • GHHM library in C – integrating with Python • Entropy • MaxEnt • Readings: • http://ghmm.org/ • Section 6.6 February 13, 2013
Overview • Last Time • Computation Complexity for Forward-Backward Algorithm • General Hidden Markov Model library (GHMM) • http://ghmm.org/ • Entropy sec 4.10 • Maximum Entropy Modelling (sec 6.6 ) • NLTK-Taggers II • Today • Maximum Entropy Modelling (sec 6.7 )