Investigates the ways quantitive methods are used, including probability and statistics, to make predictions about language and to model central aspects of language, including form, meaning, and use. Course explores the thousands of years of these approaches, covering topics including code-breaking, modeling word meaning, neural network models, and large language models (LLMs), among many others. Also explores how these approaches can be used to help model how people process language.
1 term
Other grades
University of California, Santa Cruz
LING 80L at UCSC: average GPA 3.55 across 12 students. Grade distribution by term. Investigates the ways quantitive methods are used, including probability and…
Average GPA: 3.55
Grade distribution records: 12 students across 1 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 3 | 25.0% |
| A- | 5 | 41.7% |
| B | 1 | 8.3% |
| C | 1 | 8.3% |
| P | 2 | 16.7% |
Based on 12 student grade records across 1 term and 1 professor.
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