Year |
Citation |
Score |
2023 |
Matusevych Y, Schatz T, Kamper H, Feldman NH, Goldwater S. Infant Phonetic Learning as Perceptual Space Learning: A Crosslinguistic Evaluation of Computational Models. Cognitive Science. 47: e13314. PMID 37462237 DOI: 10.1111/cogs.13314 |
0.412 |
|
2021 |
Feldman NH, Goldwater S, Dupoux E, Schatz T. Do Infants Really Learn Phonetic Categories? Open Mind : Discoveries in Cognitive Science. 5: 113-131. PMID 35024527 DOI: 10.1162/opmi_a_00046 |
0.42 |
|
2021 |
Schatz T, Feldman NH, Goldwater S, Cao XN, Dupoux E. Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 33510040 DOI: 10.1073/pnas.2001844118 |
0.368 |
|
2021 |
Hermann E, Kamper H, Goldwater S. Multilingual and unsupervised subword modeling for zero-resource languages Computer Speech & Language. 65: 101098. DOI: 10.1016/J.Csl.2020.101098 |
0.579 |
|
2017 |
Abend O, Kwiatkowski T, Smith NJ, Goldwater S, Steedman M. Bootstrapping language acquisition. Cognition. 164: 116-143. PMID 28412593 DOI: 10.1016/J.Cognition.2017.02.009 |
0.577 |
|
2017 |
Kamper H, Jansen A, Goldwater S. A segmental framework for fully-unsupervised large-vocabulary speech recognition Computer Speech & Language. 46: 154-174. DOI: 10.1016/J.Csl.2017.04.008 |
0.568 |
|
2016 |
Kamper H, Jansen A, Goldwater S. Unsupervised Word Segmentation and Lexicon Discovery Using Acoustic Word Embeddings Ieee/Acm Transactions On Audio, Speech, and Language Processing. 24: 669-679. DOI: 10.1109/Taslp.2016.2517567 |
0.616 |
|
2015 |
Pate JK, Goldwater S. Talkers account for listener and channel characteristics to communicate efficiently Journal of Memory and Language. 78: 1-17. DOI: 10.1016/J.Jml.2014.10.003 |
0.351 |
|
2013 |
Feldman NH, Griffiths TL, Goldwater S, Morgan JL. A role for the developing lexicon in phonetic category acquisition. Psychological Review. 120: 751-78. PMID 24219848 DOI: 10.1037/A0034245 |
0.605 |
|
2013 |
Frank S, Goldwater S, Keller F. Adding sentence types to a model of syntactic category acquisition. Topics in Cognitive Science. 5: 495-521. PMID 23749769 DOI: 10.1111/Tops.12030 |
0.474 |
|
2013 |
Sirts K, Goldwater S. Minimally-Supervised Morphological Segmentation using Adaptor Grammars Transactions of the Association For Computational Linguistics. 1: 255-266. DOI: 10.1162/Tacl_A_00225 |
0.377 |
|
2013 |
Pate JK, Goldwater S. Unsupervised Dependency Parsing with Acoustic Cues Transactions of the Association For Computational Linguistics. 1: 63-74. DOI: 10.1162/Tacl_A_00210 |
0.563 |
|
2011 |
Goldwater S. Computational modeling of human language acquisition afra alishahi morgan & claypool (synthesis lectures on human language technologies, edited by graeme hirst, volume 11), 2010, xiv+93 pp; paperbound, isbn 978-1-60845-339-9, $40.00; ebook, isbn 978-1-60845-340-5, $30.00 or by subscription Computational Linguistics. 37: 627-629. DOI: 10.1162/Coli_R_00067 |
0.464 |
|
2011 |
Pearl L, Goldwater S, Steyvers M. Online Learning Mechanisms for Bayesian Models of Word Segmentation Research On Language and Computation. 1-26. DOI: 10.1007/S11168-011-9074-5 |
0.482 |
|
2010 |
Frank MC, Goldwater S, Griffiths TL, Tenenbaum JB. Modeling human performance in statistical word segmentation. Cognition. 117: 107-25. PMID 20832060 DOI: 10.1016/J.Cognition.2010.07.005 |
0.618 |
|
2010 |
Goldwater S, Jurafsky D, Manning CD. Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates Speech Communication. 52: 181-200. DOI: 10.1016/J.Specom.2009.10.001 |
0.494 |
|
2009 |
Goldwater S, Griffiths TL, Johnson M. A Bayesian framework for word segmentation: exploring the effects of context. Cognition. 112: 21-54. PMID 19409539 DOI: 10.1016/J.Cognition.2009.03.008 |
0.587 |
|
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