Final exam 2020. Submit via Gradescope.
| Date | Topic | Instructor |
| Tu Sep 1 | Introduction | Koehn |
| Text | ||
| Th Sep 3 | Words and Language Models | Yarowsky |
| Tu Sep 8 | Morphology | Yarowsky |
| Th Sep 10 | Syntax | Post |
| Tu Sep 15 | Semantics | Post |
| Th Sep 17 | Deep learning I | Watanabe |
| Tu Sep 22 | Deep learning II | Watanabe |
| Th Sep 24 | Distributional Semantics | Koehn |
| Tu Sep 29 | Information Retrieval | Duh |
| Th Oct 1 | Machine Translation | Duh |
| Tu Oct 6 | Information Extraction | Koehn |
| Th Oct 8 | First Midterm Exam | - |
| Speech | ||
| Tu Oct 13 | Auditory system | Elhilali |
| Th Oct 15 | Speech basics | Hermansky |
| Tu Oct 20 | Classic speech recognition1 (additional slides) | Khudanpur |
| Tu Oct 27 | Signal processing (Chapter 6) | Khudanpur |
| Th Oct 29 | Speaker recognition | Dehak |
| Tu Nov 3 | Hands on: Kaldi | Khudanpur |
| Th Nov 5 | End-to-end neural speech recognition | Watanabe |
| Tu Nov 10 | Second Midterm Exam (2019 midterm) | - |
| Applications | ||
| Th Nov 12 | Dialog Systems | Sedoc |
| Tu Nov 17 | Question Answering | Duh |
| Th Nov 19 | NLP for Digital Humanities | Lippincott |
| Tu Dec 1 | Clinical NLP | Dredze |
| Th Dec 3 | Ethical Problems | Moro-Velazquez |
| Tu Dec 9 | Review session | Koehn |