Moon's day  Woden' s day  Frigga's day 


Aug 23 
Background. Introduction Slides 
Read J&M ch 1



Aug 28 
Introduction to NLTK 


Aug 30 
Trying out NLTK 
Read J&M Chapter 2


Sept 1 
Regular expressions 





Sept 11 
Words and language models. Probability and statistics background 


Sept 13 
More probability and statistics. 
Read J&M 4.(1&2)


Sept 15 
The noisy channel model. Introduction to language models Slide 
Do the practice problem on the handout


Sept 18 
More about language models 
Read J&M 4.(3&4)


Sept 20 
Statistics about words and other Ngrams Slides 


Sept 22 
Evaluating language models 



Sept 27 
GoodTuring smoothing 


Sept 29 
Linear interpolation 


Oct 2 
Expectationmaximization 



Oct 6 
Spelling correction 


Oct 9 
Information theory. Introduction. Entropy and perplexity 


Oct 11 
The entropy of English 





Oct 20 
Hidden Markov Models. Lexical categories 


Oct 23 
Introduction to HMMs 



Oct 27 
Partofspeech tagging 




Nov 3 
More on HMM training 


Nov 6 
Lexical semantics. Introduction to lexical semantics 


Nov 8 
Applied lexical semantics 


Nov 10 
Grammars and parsing Introduction to grammars 


Nov 13 
Grammars and parsing 


Nov 15 
CKY parsing algorithm 


Nov 17 
Machine learning. Principles of machine learning 


Nov 20 
Support vector machines 




Nov 27 
Stylometry and authorship attribution 






