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

    Quarter Taken: Spring 2023 In-Person
    Grade: A+

    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.

Course

Previously taught
23S

Grading Information

  • Has a group project

  • Attendance not required

  • 1 midterm

  • No final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.