| 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 | 659 | 2003 |
| A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009 | 590 | 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 | 398 | 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 | 357 | 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 | 301 | 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 | 285 | 2005 |
| 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 | 266 | 2007 |
| Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006 | 266 | 2006 |
| Improving statistical MT through morphological analysis S Goldwater, D McClosky Proceedings of Human Language Technology Conference and Conference on …, 2005 | 247 | 2005 |
| Modeling human performance in statistical word segmentation MC Frank, S Goldwater, TL Griffiths, JB Tenenbaum Cognition 117 (2), 107-125, 2010 | 244 | 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 | 241 | 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 | 214 | 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 | 207 | 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 | 185 | 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 | 167 | 2009 |
| Bootstrapping language acquisition O Abend, T Kwiatkowski, NJ Smith, S Goldwater, M Steedman Cognition 164, 116-143, 2017 | 151 | 2017 |
| Nonparametric Bayesian Models of Lexican Acquisition SJ Goldwater Brown University, 2007 | 148 | 2007 |
| 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 | 140 | 2015 |
| Inducing tree-substitution grammars T Cohn, P Blunsom, S Goldwater The Journal of Machine Learning Research 11, 3053-3096, 2010 | 135 | 2010 |
Mark JohnsonProfessor of Language Sciences, School of Computing, Macquarie UniversityMQ.edu.au의 이메일 확인됨
