| 1 | Introduction and Overview (PDF) |
| 2 | Parsing and Syntax I (PDF) |
| 3 | Smoothed Estimation, and Language Modeling (PDF) |
| 4 | Parsing and Syntax II (PDF) |
| 5 | The EM Algorithm (PDF) |
| 6 | The EM Algorithm Part II (PDF) |
| 7 | Lexical Similarity (PDF) |
| 8 | Lexical Similarity (cont.) (PDF) |
| 9 | Log-Linear Models (PDF) |
| 10 | Tagging and History-based Models (PDF) |
| 11 | Grammar Induction (PDF) |
| 12 | Computational Modeling of Discourse (PDF) |
| 13 | Text Segmentation (PDF - 3.6 MB) |
| 14 | Local Coherence and Coreference (PDF) |
| 15 | Machine Translation (PDF) |
| 16 | Machine Translation (cont.) (PDF) |
| 17 | Machine Translation (cont.) (PDF 1) (PDF 2 - 1.4 MB) (Courtesy of Philipp Koehn and Ivona Kucerova. Used with permission.) |
| 18 | Graph-based Methods for NLP Applications (PDF) |
| 19 | Word Sense Disambiguation (PDF) |
| 20 | Global Linear Models (PDF) |
| 21 | Global Linear Models Part II (PDF) |
| 22 | Dialogue Processing (PDF) |
| 23 | Dialogue Processing (cont.) (PDF) |
| 24 | Guest Lecture: Stephanie Seneff |
| 25 | Text Summarization (PDF) |