LING-L 245 LANGUAGE AND COMPUTERS (3 CR.)
Present-day computer systems work with human language. This course surveys issues relating natural language to computers, covers real-world applications, and provides practical experience with natural language on computers. Topics include text encoding, search technology, machine translation, dialogue systems, computer-aided language learning, and the social context of technology.
1 classes found
Spring 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 29869 | Open | 11:10 a.m.–12:25 p.m. | MW | IF 0119 | Kuebler S |
Regular Academic Session / In Person
LEC 29869: Total Seats: 9 / Available: 3 / Waitlisted: 0
Lecture (LEC)
- COLL (CASE) N&M Breadth of Inq
- IUB GenEd N&M credit
- This class is available only to students participating the College's ASURE program.
- Permission is required to drop this class (contact asure@indiana.edu).
- IUB GenEd N&M credit
- COLL (CASE) N&M Breadth of Inquiry credit
- Above class counts for honors for Hutton Honors College students
- Above class meets with HON-H 241
- Above class requires permission of instructor
"#BlackLivesMatter¿ and how we talk about this issue matters, too. Abusive language in social media is a serious issue, and because so many posts are made every day, we cannot remove abusive posts by hand, their removal must be automated. How does automatic detection work? We will discuss what abusive language is and consider how it differs based on the group it addresses (e.g. sexism, racism). Then we'll learn about automatic approaches to language analysis (i.e. what is behind Siri or Alexa), and learn just a bit of programming. By the end of the course, you will develop, experiment with, and assess your own method for automatic detection of abusive posts. No programming experience is assumed.
The College of Arts