Machine Learning for Language Understanding

Course Description

This course covers widely-used machine learning methods for language understanding—with a special focus on machine learning methods based on artificial neural networks—and culminates in a substantial final project in which students write an original research paper in AI or computational linguistics. If you take this class, you’ll be exposed only to a fraction of the many approaches that researchers have used to teach language to computers. However, you’ll get training and practice with all the research skills that you’ll need to explore the field further on your own. This includes not only the skills to design and build computational models, but also to design experiments to test those models, to write and present your results, and to read and evaluate results from the scientific literature. Prerequisites: (CSCI-UA 2 OR CSCI-UA 3 OR CSCI-UA 101) AND MATH-UA 121 AND (ECON-UA 18 OR ECON-UA 20 OR MATH-UA 333 OR MATH-UA 334 OR MATH-UA 185 OR MATH-UA 338).

Code

LING-UA 52

Credits

4

Subject

Linguistics