Sharon Goldwater

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Mark JohnsonProfessor of Language Sciences, Department of Computing, Macquarie UniversityVerified email at MQ.edu.au
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Herman KamperStellenbosch UniversityVerified email at sun.ac.za
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Adam LopezRasa / University of EdinburghVerified email at rasa.com
Tom KwiatkowskiResearch Scientist, GoogleVerified email at google.com
Aren JansenGoogle ResearchVerified email at google.com
Naomi FeldmanAssociate Professor, Linguistics and UMIACS, University of MarylandVerified email at umd.edu
Sameer BansalUniversity of EdinburghVerified email at ttic.edu
Luke ZettlemoyerUniversity of Washington; FacebookVerified email at cs.washington.edu
Phil BlunsomDeepMind and Oxford UniversityVerified email at cs.ox.ac.uk
Toms BergmanisTilde, University of LatviaVerified email at tilde.lv
Micha ElsnerAssistant Professor of Linguistics, The Ohio State UniversityVerified email at ling.ohio-state.edu
Michael C. FrankDavid and Lucile Packard Foundation Professor of Human Biology, Stanford UniversityVerified email at stanford.edu
Christos ChristodoulopoulosAmazon Alexa AIVerified email at amazon.co.uk
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Lisa PearlProfessor of Language Science & Cognitive Sciences, University of California, IrvineVerified email at uci.edu
Yevgen MatusevychThe University of EdinburghVerified email at ed.ac.uk

Sharon Goldwater

School of Informatics, University of Edinburgh

Verified email at inf.ed.ac.uk

natural language processing models of language acquisition unsupervised learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson Proceedings of the Stockholm workshop on variation within Optimality Theory …, 2003	490	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	469	2009
A fully Bayesian approach to unsupervised part-of-speech tagging S Goldwater, T Griffiths Proceedings of the 45th annual meeting of the association of computational …, 2007	394	2007
Inducing probabilistic CCG grammars from logical form with higher-order unification T Kwiatkowksi, L Zettlemoyer, S Goldwater, M Steedman Proceedings of the 2010 conference on empirical methods in natural language …, 2010	324	2010
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, TL Griffiths, S Goldwater Advances in neural information processing systems 19, 641, 2007	279	2007
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, TL Griffiths Advances in neural information processing systems, 459-466, 2006	257	2006
Bayesian inference for pcfgs via markov chain monte carlo M Johnson, TL Griffiths, S Goldwater Human Language Technologies 2007: The Conference of the North American …, 2007	235	2007
Lexical generalization in CCG grammar induction for semantic parsing T Kwiatkowski, L Zettlemoyer, S Goldwater, M Steedman Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	231	2011
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	231	2006
Improving statistical MT through morphological analysis S Goldwater, D McClosky Proceedings of Human Language Technology Conference and Conference on …, 2005	231	2005
Modeling human performance on statistical word segmentation tasks MC Frank, S Goldwater, V Mansinghka, TL Griffiths, JB Tenenbaum Proceedings of the 29th Annual Conference of the Cognitive Science Society, 2007	197*	2007
Modeling human performance in statistical word segmentation MC Frank, S Goldwater, TL Griffiths, JB Tenenbaum Cognition 117 (2), 107-125, 2010	188	2010
Two decades of unsupervised POS induction: How far have we come? C Christodoulopoulos, S Goldwater, M Steedman Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010	164	2010
Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates S Goldwater, D Jurafsky, CD Manning Speech Communication 52 (3), 181-200, 2010	160	2010
A role for the developing lexicon in phonetic category acquisition. NH Feldman, TL Griffiths, S Goldwater, JL Morgan Psychological review 120 (4), 751, 2013	154	2013
Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars M Johnson, S Goldwater Proceedings of human language technologies: The 2009 annual conference of …, 2009	141	2009
Edge-based best-first chart parsing E Charniak, S Goldwater, M Johnson Sixth Workshop on Very Large Corpora, 1998	125	1998
Nonparametric Bayesian Models of Lexican Acquisition SJ Goldwater Brown University, 2007	122	2007
Inducing tree-substitution grammars T Cohn, P Blunsom, S Goldwater The Journal of Machine Learning Research 11, 3053-3096, 2010	108	2010
A type system for statically detecting spreadsheet errors Y Ahmad, T Antoniu, S Goldwater, S Krishnamurthi 18th IEEE International Conference on Automated Software Engineering, 2003 …, 2003	106	2003

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