An introduction to foundational ideas in computational linguistics, such as: n-gram language models; noisy channel models; supervised and unsupervised learning; and distributional semantics. Focus on developing an understanding of the intuitions behind the ideas, including relevant algorithms and math, and implementing this understanding in hands-on programming applications.

Prerequisites: Linguistics 102 or Linguistics 205 or Computer Science 8 or equivalent experience.

4

Units

Optional

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Letters and science

College
TODD S J
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SH 3519
W
10:00 AM - 10:50 AM
8 / 15

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LING 208 Todd S J Fall 2024 Total: 5
LING 208 Mithun M Spring 2015 Total: 6
LING 195B
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Honors Thesis.
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LING 195A
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Honors Thesis
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LING 195C
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Honors Thesis
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LING 199
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Independent Studies In Linguistics.
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Experimental Methods in Linguistics
Brehm L E
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12:30 PM - 13:45 PM
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Discourse Transcription
Mary Bucholtz 4.6
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09:30 AM - 10:45 AM
94.0% A