DAN JURAFSKY
Professor and Chair of Linguistics
Professor of Computer Science
Stanford University
        I study computational linguistics and its application to the behavioral and social sciences. I am a past MacArthur Fellow and also write and teach about the language of food.


jurafsky(at)stanford.edu
Margaret Jacks 117
Stanford CA 94305-2150

TWITTER: @jurafsky

BIO

CV

STUDENTS

NLP group

WHERE'S DAN?

LANGUAGE OF FOOD
   blog
   class
   articles

PRESS


   
TEACHING   

AUTUMN 2015

ling294: Grad Proseminar
Fri 10:30-11:20am, Ivan Sag Room

WINTER 2016

ling197a: Undergrad Capstone Seminar
Fri 12:30pm-2:20pm,

cs124/ling180:
From Languages to Information

Tu/Thu 3:00-4:20 420-040

SPRING 2016

Food Talks: The Language of Food
Tu/Thu 1:30-3:00,

ling 289: Computational Models of Language Change
Tuesdays 4:30-6:30

Previous Courses

MATERIALS
Instructor Materials for
the online NLP MOOC






BOOKS

James Beard 2015 Award Finalist!


3rd edition draft chapters!

2015 ARTICLES     [ALL PUBS]   [GOOGLE SCHOLAR]

Dan Jurafsky. 2016. "Tea." Encyclopedia of Chinese Language and Linguistics. Rint Sybesma, Wolfgang Behr, Yueguo Gu, Zev Handel, C.-T. James Huang, and James Myers (Eds). Leiden: Brill.

Kao, Justine T. and Dan Jurafsky. 2015. A computational analysis of poetic style: Imagism and its influence on modern professional and amateur poetry. Linguistic Issues in Language Technology 12:3, 1-31 [pdf] [bib]

Jiwei Li and Dan Jurafsky. 2015. Do Multi-Sense Embeddings Improve Natural Language Understanding? Proceedings of EMNLP 2015. [pdf, bib]

Jiwei Li, Minh-Thang Luong, Dan Jurafsky and Eduard Hovy. 2015. When Are Tree Structures Necessary for Deep Learning of Representations? Proceedings of EMNLP 2015. [pdf, bib]

Podesva, Robert J., Patrick Callier, Rob Voigt, and Dan Jurafsky. 2015. The connection between smiling and GOAT fronting: Embodied affect in sociophonetic variation. Proceedings of the International Congress of Phonetic Sciences 18. [pdf] [bib]

Jiwei Li, Thang Luong, and Dan Jurafsky. 2015. A Hierarchical Neural Autoencoder for Paragraphs and Documents. Proceedings of ACL 2015. [pdf] [bib]

Rob Voigt and Dan Jurafsky. 2015. The Users Who Say "Ni": Audience Identification in Chinese-language Restaurant Reviews. Proceedings of ACL 2015. [pdf] [bib]

Andrew L. Maas, Ziang Xie, Dan Jurafsky, and Andrew Y. Ng. 2015. Lexicon-Free Conversational Speech Recognition with Neural Networks. Proceedings of NAACL 2015. [pdf] [bib]