Ann Arbor / Rochester / Somerville / Sydney / Philadelphia / Columbus / Cambridge / Hillsdale / /
Company
Neural Information Processing Systems / MIT Press / MA. MIT Press / Bernstein / MA. Cascadilla Press / Oxford University Press / Human Language Technologies / Monte Carlo / /
Country
United States / Australia / United Kingdom / / /
Facility
University Conference / University of California / /
National Science Foundation / American Statistical Association / Brown University / MIT / University of California / Berkeley / Association for Computational Linguistics Recently / Oxford University / Boston University / North American Chapter / Stanford / Association for Computational Linguistics / /
Person
Kenichi Kurihara / Colleen Zaller / A. van Kleeck / Max Welling / Catherine Snow / Michael Jordan / Aravind Joshi / Dan Klein / Slav Petrov / Brian MacWhinney / Radford M. Neal / Tatiana Magnitskaia / Sharon Goldwater / Yee Whye Teh / Percy Liang / Mark Johnson / Children / Sonia Jain / Thomas L. Griffiths / Tom Griffiths / Andreas Stolcke / /
Position
editor / model the supervised and unsupervised acquisition / bigram segmentation model / bigram word segmentation model / author / based unsupervised morphological analysis model / bigram model of Goldwater / bigram model / /
Product
Brent / /
ProvinceOrState
New Jersey / Ohio / New York / Michigan / California / Georgia / Massachusetts / /
PublishedMedium
Computational Linguistics / Journal of the American Statistical Association / /
Using adaptor grammars to identify synergies in the unsupervised acquisition of linguistic structure Mark Johnson Brown University Mark