- Reading through first sections (1-3) of Toronto's lecture slides, and the MIT OCW course notes from here (weeks 1 and 2).
- The MIT course was a Lab, so there aren't many assignments, but the notes are good reading.
- I have some kind of an order listed on 2012-01-21
- Write Python code to extract data for Zipf's Law, then use (interface with) R to draw graph.
- When Stanford's NLP course starts, I will follow it, assignments, exams, and all.