Natural Language Processing
Lecture, four hours; discussion, two hours; outside study, six hours. Natural language processing (NLP) enables computers to understand and process human languages. NLP techniques have been widely used in many applications, including machine translation, question answering, machine summarization, and information extraction. Study of fundamental elements and recent trends in NLP. Students gain ability to apply NLP techniques in text-orientated applications, understand machine learning and algorithms used in NLP, and propose new approaches to solve NLP problems. Letter grading.
Review Summary
- Clarity
-
10.0 / 10
- Organization
-
8.3 / 10
- Time
-
10-15 hrs/week
- Overall
-
10.0 / 10
Reviews
One of the best CS classes I've ever taken in UCLA. It was the class that made me even have more interest in NLP than my original field of interest.
Flawless lectures and discussion. Both instructor and TAs were helpful and great at explanation.
Showing 1 review
Course
Grading Information
-
Has a group project
-
Attendance not required
-
1 midterm
-
No final
-
100% recommend the textbook
Previous Grades
Grade distributions not available.