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 FeldmanAssociate Professor, Linguistics and UMIACS, University of MarylandVerified email at umd.edu
Tom KwiatkowskiResearch Scientist, GoogleVerified email at google.com
Sameer BansalUniversity of EdinburghVerified email at ttic.edu
Aren JansenGoogle ResearchVerified email at google.com
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
Yevgen MatusevychThe University of EdinburghVerified email at ed.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
Thomas SchatzAssistant Professor, Aix-Marseille Université, Marseille, FranceVerified email at univ-amu.fr
Karen LivescuTTI-ChicagoVerified email at ttic.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
Phil BlunsomOxford University & CohereVerified email at cs.ox.ac.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

Sharon Goldwater

School of Informatics, University of Edinburgh

Verified email at inf.ed.ac.uk

natural language processing models of language acquisition unsupervised learning


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Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson, J Spenader, A Eriksson, Ö Dahl Proceedings of the Stockholm workshop on variation within Optimality Theory …, 2003	554	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	518	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	409	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	367	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	326	2006
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	268	2005
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	262	2011
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	250	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	247	2006
Improving statistical MT through morphological analysis S Goldwater, D McClosky Proceedings of Human Language Technology Conference and Conference on …, 2005	235	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	216*	2007
Modeling human performance in statistical word segmentation MC Frank, S Goldwater, TL Griffiths, JB Tenenbaum Cognition 117 (2), 107-125, 2010	207	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	196	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	178	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	174	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	160	2009
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	148	2018
Nonparametric Bayesian Models of Lexican Acquisition SJ Goldwater Brown University, 2007	132	2007
Edge-based best-first chart parsing E Charniak, S Goldwater, M Johnson Sixth Workshop on Very Large Corpora, 1998	129	1998
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	124	2015

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