| Moon's day | Woden' s day | Frigga's day |
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Aug 23 |
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Background. Introduction
Slides |
Read J&M ch 1
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Aug 28 |
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Introduction to NLTK |
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Aug 30 |
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Trying out NLTK |
Read J&M Chapter 2
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Sept 1 |
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Regular expressions |
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Sept 11 |
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Words and language models. Probability and statistics background |
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Sept 13 |
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More probability and statistics. |
Read J&M 4.(1&2)
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Sept 15 |
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The noisy channel model. Introduction to language models
Slide |
Do the practice problem on the handout
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Sept 18 |
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More about language models |
Read J&M 4.(3&4)
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Sept 20 |
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Statistics about words and other N-grams
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Sept 22 |
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Evaluating language models |
Read J&M 4.(5-7); find something interesting in Google NGram viewer
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Sept 29 |
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Engineering a language model
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Oct 2 |
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Linear interpolation; Expectation-Maximization
Slides |
Read J&M 3.(10-12)
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Oct 6 |
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Spelling correction |
Read J&M 4.(10&11)
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Oct 9 |
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Information theory. Introduction. Entropy and perplexity
Slides |
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Oct 11 |
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The entropy of English
Slides |
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Oct 20 |
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POS tagging and HMMs. Lexical categories
Slides |
Read J&M 5.3 and 5.5 through pg 145
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Oct 23 |
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Introduction to HMMs |
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Oct 25 |
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More on HMMs (forward algorithm |
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Oct 27 |
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State recovery (Viterbi algorithm) |
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Oct 30 |
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[Take-home midterm released] |
Read J&M 5.5.3
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Nov 1 |
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HMM training (Forward-Backward algorithm) |
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Nov 3 |
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Implementing HMMs |
Project 4, due Nov 17
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Nov 6 |
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Experiments with HMMs |
Read J&M 19.(1-3) (the rest of Ch 19 is recommended)
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Nov 8 |
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Lexical semantics. Introduction to lexical semantics |
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Nov 10 |
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Applied lexical semantics |
In-class activity
Read J&M 12.(1-3,9) for Mon 11/13, and the rest of chapter 12 by 11/17
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Nov 13 |
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Grammars and parsing Introduction to grammars |
Read J&M 13.(1-3)
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Nov 15 |
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Grammars and parsing |
Read J&M 13.4.1
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Nov 17 |
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CKY parsing algorithm |
Project 5, due 12/8
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Nov 27 |
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Machine learning. Stylometry and authorship attribution |
Spent an hour and a half learning R with swirl
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Dec 6 |
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Stylometry investigations |
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