Inducing Tree-Substitution Grammars

GoldwaterSharon , CohnTrevor , BlunsomPhil
Journal of Machine Learning Research

2
2010
Nonparametric Bayesian Models of Lexican Acquisition

Sharon J Goldwater
Brown University

148
2007
Corpus-Based Optimization of Language Models Derived from Unification Grammars

Sharon Goldwater , John Dowding , Mark Gawron , Elizabeth O. Bratt
RIACS

2000
3
2011
Unsupervised extraction of recurring words from infant-directed speech

Fergus R. McInnes , Sharon Goldwater
Cognitive Science 33 ( 33)

13
2011
Beyond Transitional Probabilities: Human Learners Impose a Parsimony Bias in Statistical Word Segmentation

Inbal Arnon , Harry Tily , Sharon Goldwater , Michael C. Frank
Proceedings of the Annual Meeting of the Cognitive Science Society 32 ( 32)

11
2010
A Comparison of Neural Network Methods for Unsupervised Representation Learning on the Zero Resource Speech Challenge

Sharon Goldwater , Aren Jansen , Herman Kamper , Daniel Renshaw
conference of the international speech communication association 3199 -3203

88
2015
Fully Unsupervised Small-Vocabulary Speech Recognition Using a Segmental Bayesian Model

Sharon Goldwater , Aren Jansen , Herman Kamper
conference of the international speech communication association 678 -682

42
2015
A fully Bayesian approach to unsupervised part-of-speech tagging

Sharon Goldwater , Tom Griffiths
meeting of the association for computational linguistics 744 -751

278
2007
Improving morphology induction by learning spelling rules

Jason Naradowsky , Sharon Goldwater
international joint conference on artificial intelligence 1531 -1536

24
2009
A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability

Sharon Goldwater , Micha Elsner , Frank Wood , Naomi Feldman
empirical methods in natural language processing 42 -54

36
2013
Bootstrapping a Unified Model of Lexical and Phonetic Acquisition

Sharon Goldwater , Micha Elsner , Jacob Eisenstein
meeting of the association for computational linguistics 1 184 -193

21
2012
Two Decades of Unsupervised POS Induction: How Far Have We Come?

Christos Christodoulopoulos , Sharon Goldwater , Mark Steedman
empirical methods in natural language processing 575 -584

128
2010
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

Sharon Goldwater , Thomas L. Griffiths , Mark Johnson
neural information processing systems 19 641 -648

216
2006
A non-parametric Bayesian approach to spike sorting.

Sharon Goldwater , Frank Wood , Michael J. Black
international conference of the ieee engineering in medicine and biology society 1 1165 -1168

54
2006
Learning OT constraint rankings using a maximum entropy model

Sharon Goldwater , Mark Johnson , Jennifer Spenader , Anders Eriksson
Stockholm Workshop on Variation within Optimality Theory 111 -120

553
2003
Exploring the Utility of Joint Morphological and Syntactic Learning from Child-directed Speech

Sharon Goldwater , Frank Keller , Stella Frank
empirical methods in natural language processing 30 -41

7
2013
Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models

Sharon Goldwater , Thomas L. Griffiths , Mark Johnson
Journal of Machine Learning Research 12 ( 68) 2335 -2382

98
2011
Semantic Parsing with Bayesian Tree Transducers

Sharon Goldwater , Bevan Jones , Mark Johnson
meeting of the association for computational linguistics 488 -496

48
2012
Modeling Graph Languages with Grammars Extracted via Tree Decompositions

Sharon Goldwater , Bevan Keeley Jones , Mark Johnson
finite state methods and natural language processing 54 -62

6
2013