Computational Linguistics
Parsing for Computational Linguistics
1 credits
Methods of natural language parsing: finite state approaches, class-based language models, part-of-speech tagging, NP chunking, shallow parsing, and context free syntactic parsing. Restricted to students in the M.D.S. program with Computational Linguistics option.
Average
90.4%
Students
190
Sections
6
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 0, 64-67: 0, 68-71: 1, 72-75: 3, 76-79: 2, 80-84: 14, 85-89: 43, 90-100: 120.
Historical Averages
2019–2024
Lowest section avg
86.2%
Highest section avg
92.9%
Terms offered
6
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 001 | Lecture | Open | Mon 09:30-11:00, Wed 09:30-11:00 | Garrett Nicolai |
| L01 | Laboratory | Open | Wed 14:00-16:00 | Garrett Nicolai |
| L02 | Laboratory | Open | Wed 16:00-18:00 | Garrett Nicolai |
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