9/2 | introduction (ppt) | Ch 1, article | Assignment 0 | |
9/4 | corpus analysis (ppt) | Ch 2.1 | Assignment 1 | |
9/9 | probability (ppt) | Ch 3.1, 3.8-3.13 | | |
9/11 | language modeling (ppt) | Ch 4.1-4.4 | Assignment 2a (solution) Assignment 2b | |
9/16 | lm smoothing (ppt) discounting handout | Ch 4.5-4.12 | | |
9/18 | lm lab (Edmunds 105) | Javadoc | | |
9/23 | syntax basics (ppt) | Ch 5-5.3, 12.1-12.2 | | |
9/25 | grammars (ppt) | Ch 13-13.4 | Assignment 3 | Quiz 1 |
9/30 | parsing (ppt) | Ch 14-14.4 | | |
10/2 | improved parsing (ppt) | Ch 14.5-14.11 | Assingment 4a (solutions) Assignment 4b | |
10/7 | parsing lab (Edmunds 105) | | | |
10/9 | text similarity (ppt) | Ch 20.6-20.8 | | |
10/14 | word similarity (ppt) | | | |
10/16 | distributional similarity (ppt) | | Assignment 5 (solutions) | Quiz 2 |
10/21 | Fall break | | | |
10/23 | machine translation (ppt) | Ch 25-25.1 | | |
10/28 | MT - translation models (ppt) | Ch 25.3, 25.5 | | |
10/30 | MT - word alignment (ppt) | Ch 25.6 IBM 1-2 (optional) | Assignment 6 | |
11/4 | MT conclusions (ppt) | Ch 25.4, 25.9 | | |
11/6 | MT lab (Edmunds 105) | | | |
11/11 | machine learning (ppt) | Daume 1-1.2 | final project | |
11/13 | ML - NB (ppt) | Manning 13.1-13.4 | Assignment 7 | |
11/18 | ML - priors (ppt) | | | Quiz 3 |
11/20 | ML - other models (ppt) | | | |
11/25 | ML lab (Edmunds 105) | | | |
11/27 | Break | | | |
12/2 | Text modeling (ppt) | | | |
12/4 | Text simplification (ppt) | | | |
12/9 | presentation guide | | | Quiz 4 (comprehensive) |