Photo of Dan by Do Pham, Stanford
                    Image: Do Pham, Stanford
DAN JURAFSKY
Reynolds Professor in Humanities,
Professor of Linguistics
Professor of Computer Science
Stanford University
  I study natural language processing and its application to the social and cognitive 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

BIO

TWITTER: @jurafsky

CV

PEOPLE

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   seminar
   class
   articles






















   

TEACHING   
WINTER 2024
cs124/ling180:
From Languages to Information

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

CS 324H: The History of NLP   (co-taught with Chris Manning)
Mon 1:30 PM - 4:20 PM, STLC104

AUTUMN 2023
CS 329R: Race and Natural Language Processing   (co-taught with Jennifer Eberhardt)
Tue 1:30-4:00 PM

Earlier Courses

LECTURE VIDEOS
CS124:     YouTube lecture videos
2012 NLP Online w/Chris Manning:
    - Youtube channel lecture videos
    - Slides










































BOOKS
Speech and Language Processing, Dan Jurafsky and James H. Martin, 3rd edition draft chapters Dan Jurafsky The Language of Food, James Beard Award Finalist

2024 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky. 2024. AnthroScore: A Computational Linguistic Measure of Anthropomorphism. Proceedings of EACL 2024

Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou. 2024. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. Draft to appear, ICLR 2024.

Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky. 2024. Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens.. Proceedings of SIGTYP 2024.

Garrett Tanzer, Mirac Suzgun, Eline Visser, Dan Jurafsky, Luke Melas-Kyriazi. 2024. A Benchmark for Learning to Translate a New Language from One Grammar Book. Draft to appear, ICLR 2024.

Travis Zack, Eric Lehman, Mirac Suzgun, Jorge A Rodriguez, Leo Anthony Celi, Judy Gichoya, Dan Jurafsky, Peter Szolovits, David W Bates, Raja-Elie E Abdulnour, Atul Butte, Emily Alsentzer. 2024. Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. The Lancet Digital Health, 6:1, e12-e22.

Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King. 2024. Dialect prejudice predicts AI decisions about people's character, employability, and criminality. Preprint.

Eva Portelance, Michael C. Frank, Dan Jurafsky. 2024. Learning the meanings of function words from grounded language using a visual question answering model. Preprint.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela. 2024. KTO: Model Alignment as Prospect Theoretic Optimization. Preprint .

Federico Bianchi, Patrick John Chia, Mert Yuksekgonul, Jacopo Tagliabue, Dan Jurafsky, James Zou. 2024. How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis.

Aryaman Arora, Dan Jurafsky, Christopher Potts. 2024. CausalGym: Benchmarking causal interpretability methods on linguistic tasks. Preprint.

Omar Shaikh*, Kristina Gligorić*, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky. 2024. Grounding or Guesswork? Large Language Models are Presumptive Grounders. Preprint.

Yiwei Luo, Kristina Gligorić, Dan Jurafsky. 2024. Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models. Preprint.