Sharon Goldwater

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Mark JohnsonProfessor of Language Sciences, School of Computing, Macquarie UniversityVerified email at MQ.edu.au
Herman KamperStellenbosch UniversityVerified email at sun.ac.za
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Adam LopezUniversity of EdinburghVerified email at ed.ac.uk
Naomi FeldmanProfessor, Linguistics and UMIACS, University of MarylandVerified email at umd.edu
Sameer BansalUniversity of EdinburghVerified email at ttic.edu
Tom KwiatkowskiResearch Scientist, GoogleVerified email at google.com
Aren JansenGoogle DeepMindVerified email at google.com
Yevgen MatusevychUniversity of GroningenVerified email at rug.nl
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Thomas SchatzAssistant Professor, Aix-Marseille Université, Marseille, FranceVerified email at univ-amu.fr
Toms BergmanisTilde, University of LatviaVerified email at tilde.lv
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Micha ElsnerAssistant Professor of Linguistics, The Ohio State UniversityVerified email at ling.ohio-state.edu
Alexander RobertsonGoogleVerified email at google.com
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Michael C. FrankBenjamin Scott Crocker Professor of Human Biology, Stanford UniversityVerified email at stanford.edu
Christos ChristodoulopoulosSenior Applied Scientist, Amazon Inc.Verified email at amazon.co.uk
Phil BlunsomCohere & Oxford UniversityVerified email at cs.ox.ac.uk

Sharon Goldwater

School of Informatics, University of Edinburgh

Verified email at inf.ed.ac.uk

speech and language processing cognitive models 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 workshop on variation within Optimality Theory, 111-120, 2003	641	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	582	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	424	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	394	2010
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, T Griffiths, S Goldwater Advances in neural information processing systems 19, 2006	356	2006
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	297	2011
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	281	2005
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	266	2006
Bayesian inference for pcfgs via markov chain monte carlo M Johnson, T Griffiths, S Goldwater Human Language Technologies 2007: The Conference of the North American …, 2007	264	2007
Improving statistical MT through morphological analysis S Goldwater, D McClosky Proceedings of Human Language Technology Conference and Conference on …, 2005	245	2005
Modeling human performance in statistical word segmentation MC Frank, S Goldwater, TL Griffiths, JB Tenenbaum Cognition 117 (2), 107-125, 2010	240	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	236	2010
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation S Bansal, H Kamper, K Livescu, A Lopez, S Goldwater arXiv preprint arXiv:1809.01431, 2018	205	2018
A role for the developing lexicon in phonetic category acquisition. NH Feldman, TL Griffiths, S Goldwater, JL Morgan Psychological review 120 (4), 751, 2013	202	2013
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	183	2010
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	166	2009
Nonparametric Bayesian Models of Lexican Acquisition SJ Goldwater Brown University, 2007	147	2007
Bootstrapping language acquisition O Abend, T Kwiatkowski, NJ Smith, S Goldwater, M Steedman Cognition 164, 116-143, 2017	145	2017
UNSUPERVISED NEURAL NETWORK BASED FEATURE EXTRACTION USING WEAK TOP-DOWN CONSTRAINTS H Kamper, M Elsner, A Jansen, S Goldwater Proceedings of the 40th IEEE International Conference on Acoustics, Speech …, 2015	139	2015
Edge-based best-first chart parsing E Charniak, S Goldwater, M Johnson Sixth Workshop of Very Large Corpora, 127-133, 1998	132	1998

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