Computer Science Division University of California at Berkeley Soda Hall Berkeley / Information Sciences Institute University of Southern California / /
IndustryTerm
natural language applications / generic algorithm / relaxation algorithm / recursive transition networks / generic algorithms / finite-state devices / forward-backward algorithm / inference algorithm / human language processing / tree processing / information extraction systems / generic tools / natural language processing / stochastic finite-state wordsegmentation algorithm / /
Organization
University of California / National Science Foundation / North American Chapter of the ACL / University of Southern California / FSA / Pattern Analysis and Machine Intelligence / Association for Computational Linguistics / /
Person
Fernando C. N. Pereira / Richard Sproat / Alexander Clark / Sujith Ravi / William Gale / Chris Dyer / Philip Resnik / Nancy Chang / Christopher Manning / Azriel Rosenfeld / Okan Kolak / Phil Blunsom / Dan Klein / Yaser Al-Onaizan / Chilin Shih / Anish Nair / Ravi / Sharon Goldwater / Miles Osborne / John DeNero / Zoubin Ghahramani / William Byrne / Donald Geman / Trevor Cohn / Trond Grenager / Willian Byrne / Michael D. Riley / Bernard Merialdo / Mark Johnson / Jenny Rose Finkel / Nishit Rathod / Stuart Geman / Jonathan Graehl / Thomas L. Griffiths / Kenji Yamada / Jianfeng Gao / Shmuel Peleg / Jonathan May / Mathias / Matthew J. Beal / Gao / Kevin Knight / /
Position
representative / generative probabilistic OCR model for NLP applications / /
Product
Gibbs / /
ProvinceOrState
Southern California / California / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / Computational Linguistics / Communications of the ACM / /
Region
Southern California / /
Technology
Adam / Speech recognition / generic algorithm / Bayesian EM algorithm / Metropolis-Hastings algorithm / OCR / natural language processing / Bayesian inference algorithm / stochastic finite-state wordsegmentation algorithm / generic Bayesian training algorithm / relaxation algorithm / caching / generic algorithms / FST-cascade training algorithm / forward-backward algorithm / be corrected using the Metropolis-Hastings algorithm / /
Bayesian Inference for Finite-State Transducers∗ David Chiang1 Jonathan Graehl1 Kevin Knight1