| 1 |
Introduction and Overview (PDF) |
| 2 |
Basic Language Statistics; Zipf's Law (PDF) |
| 3 |
Language Models; Smoothed Estimation (PDF) |
| 4 |
Tagging; Transformation Based Learning; HMM Taggers (PDF) |
| 5 |
Maximum Entropy Tagger (PDF) |
| 6 |
Introduction to Syntax; Probabilistic Context Free Grammars |
| 7 |
Syntactic Parsing |
| 8 |
Introduction to EM |
| 9 |
Unsupervised Grammar Induction (PDF) |
| 10 |
Distributional Similarity; Clustering (PDF) |
| 11 |
Distributional Similarity (cont.) (PDF) |
| 12 |
Word Sense Disambiguation; Co-training (PDF) |
| 13 |
Text Segmentation (PDF) |
| 14 |
Learning Discourse Structure (PDF) |
| 15 |
Rhetorical Parsing (PDF) |
| 16 |
Text Summarization (PDF) |
| 17 |
Text Summarization (cont.) |
| 18 |
Midterm |
| 19 |
Anaphora Resolution (PDF) |
| 20 |
Machine Translation I (PDF) (Courtesy of Philipp Koehn. Used with permission.) |
| 21 |
Machine Translation II (PDF) (Courtesy of Philipp Koehn. Used with permission.) |
| 22 |
Machine Translation II (cont.) |
| 23 |
Project Presentations |
| 24 |
Project Presentations (cont.) |