LIN447H5 • Topics in Computational Linguistics

In this course, students will develop a computational understanding of text and language. This course is cross-disciplinary, tools and project based; it teams Linguistics and Computer Science students in projects exploring novel applications of Natural Language Processing. Example topics include text summarization, bias detection, and sentiment analysis using Python and text processing and machine learning libraries. Topics and applications will vary by instructor.

For LIN program students: (LIN340H5 or LIN341H5) plus 1.0 additional credit at the 300 level. For CS program students: CSC207H5 and STA256H5 and/or permission from the instructor.
In Class