Course Schedule
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LING 529 – Human Language Technology I
GIDP: Second Lang. Acquisition & Teaching (SLAT)
This class serves as an introduction to human language technology (HLT), an emerging interdisciplinary field that encompasses most subdisciplines of linguistics, as well as computational linguistics, natural language processing, computer science, artificial intelligence, psychology, philosophy, mathematics, and statistics.
Content includes a combination of theoretical and applied topics such as (but not limited to) tokenization across languages, n-grams, word representations, basic probability theory, introductory programming, and version control.
This class serves as an introduction to human language technology (HLT), an emerging interdisciplinary field that encompasses most subdisciplines of linguistics, as well as computational linguistics, natural language processing, computer science, artificial intelligence, psychology, philosophy, mathematics, and statistics.
Content includes a combination of theoretical and applied topics such as (but not limited to) tokenization across languages, n-grams, word representations, basic probability theory, introductory programming, and version control.
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- Section: 101
- Instructor: Hammond, Mike
- Days:
- Time:
- Dates: Aug 25 - Oct 15
- Status: Open
- Enrollment: 13 / 50
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- Section: 201
- Instructor: Hammond, Mike
- Days:
- Time:
- Dates: Aug 25 - Oct 15
- Status: Open
- Enrollment: 13 / 50
LING 531 – Human Language Technology II
GIDP: Second Lang. Acquisition & Teaching (SLAT)
Human Language Technology II
Course Description (no char. limit): This intermediate-level course is a continuation of LING 529 and covers a combination of theoretical and applied topics such as (but not limited to) unsupervised learning (clustering), decision trees, and the basics of information retrieval.
Human Language Technology II
Course Description (no char. limit): This intermediate-level course is a continuation of LING 529 and covers a combination of theoretical and applied topics such as (but not limited to) unsupervised learning (clustering), decision trees, and the basics of information retrieval.
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- Section: 101
- Instructor: Jackson, Eric Maurice
- Days:
- Time:
- Dates: Oct 16 - Dec 10
- Status: Open
- Enrollment: 9 / 50
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- Section: 201
- Instructor: Jackson, Eric Maurice
- Days:
- Time:
- Dates: Oct 16 - Dec 10
- Status: Open
- Enrollment: 9 / 50