Photo of Dan by Do Pham, Stanford
                    Image: Do Pham, Stanford
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.
Margaret Jacks 117
Stanford CA 94305-2150


TWITTER: @jurafsky



NLP group




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

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

Earlier Courses

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

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


Aryaman Arora, Dan Jurafsky, Christopher Potts. 2024. CausalGym: Benchmarking causal interpretability methods on linguistic tasks. To appear, Proceedings of ACL.

Zhengxuan Wu*, Aryaman Arora*, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts. 2024. ReFT: Representation Finetuning for Language Models. arXiv:2404.03592, 2024.

Cole Simmons, Richard Diehl Martinez, and Dan Jurafsky. 2024. SumTablets: A Transliteration Dataset of Sumerian Tablets. To appear, ACL 2024 Workshop on Machine Learning for Ancient Languages.

Anton de la Fuente and Dan Jurafsky. 2024 A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models. Interspeech 2024.

Eva Portelance, Michael C. Frank, Dan Jurafsky. 2024. Learning the meanings of function words from grounded language using a visual question answering model. Cognitive Science 48:5.

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

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

Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky. 2024. NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. Proceedings of NAACL 2024.

Omar Shaikh*, Kristina Gligorić*, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky. 2024. Grounding Gaps in Language Model Generations. Proceedings of NAACL 2024.

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

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