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Computer Science

D-Index
50
Citations
14373
World Ranking
5503
National Ranking
330

Overview

Sharon Goldwater is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Signal Processing, Developmental and Educational Psychology, Experimental and Cognitive Psychology, and Human-Computer Interaction.

The scientist's work covers a range of topics, among which are:

  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Topic Modeling
  • Language Development and Disorders
  • Music and Audio Processing
  • Speech and Audio Processing
  • Phonetics and Phonology Research

Sharon Goldwater has contributed to various publication venues. Most frequently, their work appears in arXiv (Cornell University). They also have publications in:

  • Language Resources and Evaluation
  • Proceedings of the National Academy of Sciences
  • Open Mind
  • ACM Transactions on Social Computing

The scientist maintains active collaborative relationships with frequent co-authors, including Walid Magdy, Yevgen Matusevych, Herman Kamper, Naomi H. Feldman, and Alexander Robertson.

Significant recent papers by Sharon Goldwater include:

  • Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input (2021, Proceedings of the National Academy of Sciences)
  • Do Infants Really Learn Phonetic Categories? (2021, Open Mind)
  • Emoji Skin Tone Modifiers (2020, ACM Transactions on Social Computing)
  • Black or White but Never Neutral: How Readers Perceive Identity from Yellow or Skin-toned Emoji (2021, Proceedings of the ACM on Human-Computer Interaction)
  • Infant Phonetic Learning as Perceptual Space Learning: A Crosslinguistic Evaluation of Computational Models (2023, Cognitive Science)

Best Publications

  • Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

    Sharon Goldwater;Tom Griffiths

  • Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

    Christos Christodoulopoulos;Sharon Goldwater;Mark Steedman

  • A Bayesian framework for word segmentation: Exploring the effects of context

    Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

  • Proceedings of the Conference on Empirical Methods in Natural Language Processing

    Christos Christodoulopoulos;Sharon Goldwater;Mark Steedman

  • Learning OT constraint rankings using a maximum entropy model

    Sharon Goldwater;Mark Johnson

  • A fully Bayesian approach to unsupervised part-of-speech tagging

    Sharon Goldwater;Tom Griffiths

  • Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification

    Tom Kwiatkowksi;Luke Zettlemoyer;Sharon Goldwater;Mark Steedman

  • Bayesian Inference for PCFGs via Markov Chain Monte Carlo

    Mark Johnson;Thomas Griffiths;Sharon Goldwater

  • Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

    Mark Johnson;Thomas L. Griffiths;Sharon Goldwater

  • Contextual Dependencies in Unsupervised Word Segmentation

    Sharon Goldwater;Thomas L. Griffiths;Mark Johnson

  • Interpolating between types and tokens by estimating power-law generators

    Sharon Goldwater;Mark Johnson;Thomas L. Griffiths

  • Lexical Generalization in CCG Grammar Induction for Semantic Parsing

    Tom Kwiatkowski;Luke Zettlemoyer;Sharon Goldwater;Mark Steedman

  • Improving Statistical MT through Morphological Analysis

    Sharon Goldwater;David McClosky

  • A Role for the Developing Lexicon in Phonetic Category Acquisition

    Naomi H. Feldman;Thomas L. Griffiths;Sharon Goldwater;James L. Morgan

  • Modeling human performance in statistical word segmentation

    Michael C. Frank;Sharon Goldwater;Thomas L. Griffiths;Joshua B. Tenenbaum

  • Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates

    Sharon Goldwater;Daniel Jurafsky;Christopher D. Manning

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

    Christos Christodoulopoulos;Sharon Goldwater;Mark Steedman

  • Pre-training on high-resource speech recognition improves low-resource speech-to-text translation

    Sameer Bansal;Herman Kamper;Karen Livescu;Adam Lopez

  • Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars

    Mark Johnson;Sharon Goldwater

  • Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

    Bevan Jones;Mark Johnson;Sharon Goldwater

  • Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

    Trevor Cohn;Sharon Goldwater;Phil Blunsom

Frequent Co-Authors

Mark Johnson
Mark Johnson Macquarie University
Mark Steedman
Mark Steedman University of Edinburgh
Thomas L. Griffiths
Thomas L. Griffiths Princeton University
Aren Jansen
Aren Jansen Google (United States)
Karen Livescu
Karen Livescu Toyota Technological Institute at Chicago
Trevor Cohn
Trevor Cohn University of Melbourne
Phil Blunsom
Phil Blunsom University of Oxford
Frank Keller
Frank Keller University of Edinburgh
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Michael C. Frank
Michael C. Frank Stanford University

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