Teaching

A key mission of the Natural Language Processing Group is graduate and undergraduate education in all areas of Human Language Technology including its applications, history, and social context.

Here is some basic information for prospective graduate students.

Stanford University offers a rich assortment of courses in Natural Language Processing and related areas, including foundational courses as well as advanced seminars.

The Stanford NLP Faculty have also been active in producing online course materials, including:

• The complete videos from the 2021 edition of Christopher Manning's CS224N: Natural Language Processing with Deep Learning | Winter 2021 on YouTube [slides].
• The 2022 videos for CS224U: Natural Language Understanding | Spring 2022 by Christopher Potts on YouTube.
• The 2021 videos for Dan Jurafsky's CS124: From Languages to Information: Spring 2021. Slides are at cs124.stanford.edu.
• Older classic NLP material: Natural Language Processing (a.k.a. the 2012 Coursera NLP-class) by Dan Jurafsky and Christopher Manning on YouTube [slides].

Textbooks co-authored by NLP faculty include Chris Manning and Hinrich Schütze's Foundations of Statistical Natural Language Processing, Dan Jurafsky and James Martin's Speech and Language Processing [see the u ed draft], and Manning, Raghavan, and Schütze's textbook Introduction to Information Retrieval.