DAN JURAFSKY
Jackson Eli Reynolds Professor
  in Humanities,
Professor and Chair of Linguistics
Professor of Computer Science
Stanford University
  I study natural language processing and its application to the cognitive and social sciences. I am a past MacArthur Fellow and also work on the language of food.
jurafsky@stanford.edu
Margaret Jacks 117
Stanford CA 94305-2150

OFFICE HOURS:


BIO

TWITTER: @jurafsky

CV

STUDENTS

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   class
   articles

PRESS





















   
General Chair for ACL 2020
Seattle, July 5-10, 2020

TEACHING   

SPRING 2020
CS 384: Seminar on Social and Ethical Issues in Natural Language Processing
Tu 4:30-6:20 STLC 115

WINTER 2020
cs124/ling180:
From Languages to Information

Tu/Thu 3:00-4:20 Hewlett 200

ling197a: Undergrad Capstone Seminar
Fri 12:30pm-2:20pm, Ivan A. Sag Room

AUTUMN 2019
ling294: Grad Proseminar
Fri 10:30-11:20am, Ivan A. Sag Room
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Previous Courses
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OTHER MATERIALS
CS124:     YouTube lecture videos
2012 NLP MOOC w/Chris Manning:
    Youtube channel lecture videos
    Slides

































BOOKS

3rd edn. draft chapters!
Speech and Language Processing
Dan Jurafsky and James H. Martin

James Beard Award
Nominee!


2020 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John Rickford, Dan Jurafsky, and Sharad Goel. 2020. Racial Disparities in Automated Speech Recognition. Proceedings of the National Academy of Sciences. [pdf] [Press: NY Times]

Michael Hahn, Dan Jurafsky, Richard Futrell. Universals of word order reflect optimization of grammars for efficient communication. Proceedings of the National Academy of Sciences. [pdf] [bib] [code]

Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer and Mike Lewis. 2020. Generalization through Memorization: Nearest Neighbor Language Models. International Conference on Learning Representations (ICLR), 2020. [pdf] [code]

Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang. 2020. Automatically Neutralizing Subjective Bias in Text. AAAI, 2020 [pdf] [code]