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Computer Science

D-Index
51
Citations
12262
World Ranking
5277
National Ranking
2431

Overview

Richard Sproat is affiliated with Google in the United States, specializing primarily in computer science with a research focus spanning artificial intelligence, cultural studies, cognitive neuroscience, computational theory and mathematics, as well as computer vision and pattern recognition.

Their main research topics include natural language processing techniques, speech and dialogue systems, topic modeling, language and cultural evolution, speech recognition and synthesis, neurobiology of language and bilingualism, and algorithms and data compression.

Frequent co-authors collaborating with them on various projects include Alexander Gutkin, Kyle Gorman, Cibu Johny, Llion Jones, and Johann-Mattis List.

Richard Sproat has published extensively in several notable venues with a concentration in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computational Linguistics
  • Synthesis lectures on human language technologies
  • Diachronica

Notable recent papers authored or co-authored by Richard Sproat include:

  • The Taxonomy of Writing Systems: How to Measure How Logographic a System Is, 2021, Computational Linguistics

Other recent papers in related research fields (although not solely authored by them) are:

  • Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview, 2020, arXiv (Cornell University)
  • Finite-State Text Processing, 2021, Synthesis lectures on human language technologies
  • Statistical evidence for the Proto-Indo-European-Euskarian hypothesis, 2021, Diachronica
  • NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task, 2020, arXiv (Cornell University)

Richard Sproat has contributed to book publications, including the title Finite-State Text Processing, published by Morgan & Claypool Publishers in 2021.

Best Publications

  • Emotions from Text: Machine Learning for Text-based Emotion Prediction

    Cecilia Ovesdotter Alm;Dan Roth;Richard Sproat

  • Allophonic variation in English /l/ and its implications for phonetic implementation

    Richard Sproat;Osamu Fujimura

  • WordsEye: an automatic text-to-scene conversion system

    Bob Coyne;Richard Sproat

  • Morphology and computation

    Richard William Sproat

  • Normalization of non-standard words

    Richard Sproat;Alan W. Black;Stanley Chen;Shankar Kumar

  • The Cross-Linguistic Distribution of Adjective Ordering Restrictions

    Richard Sproat;Chilin Shih

  • A stochastic finite-state word-segmentation algorithm for Chinese

    Richard Sproat;William Gale;Chilin Shih;Nancy Chang

  • Multilingual Text-to-Speech Synthesis

    Richard W. Sproat

  • Lattice-Based Search for Spoken Utterance Retrieval

    Murat Saraclar;Richard Sproat

  • A statistical method for finding word boundaries in Chinese text

    Richard Sproat;Chilin Shih

  • The First International Chinese Word Segmentation Bakeoff

    Richard Sproat;Thomas Emerson

  • A computational theory of writing systems

    Richard William Sproat

  • Multilingual text-to-speech synthesis : the Bell Labs approach

    Richard William Sproat;Louis Pols

  • Mining correlated bursty topic patterns from coordinated text streams

    Xuanhui Wang;ChengXiang Zhai;Xiao Hu;Richard Sproat

  • A Pragmatic Analysis of So-Called Anaphoric Islands

    Gregory Ward;Richard Sproat;Gail McKoon

  • Progress in speech synthesis

    Jan P. H. van Santen;Joseph P. Olive;Richard W. Sproat;Julia Hirschberg

  • The Stress and Structure of Modified Noun Phrases in English

    Mark Liberman;Richard Sproat

  • System and Method of Lattice-Based Search for Spoken Utterance Retrieval

    Murat Saraclar;Richard William Sproat

  • An Efficient Compiler for Weighted Rewrite Rules

    Mehryar Mohri;Richard Sproat

  • Compilation of Weighted Finite-State Transducers from Decision Trees

    Richard Sproat;Michael Riley

  • Weighted rational transductions and their application to human language processing

    Fernando Pereira;Michael Riley;Richard Sproat

  • A STOCHASTIC FINITE-STATE WORD-SEGMENTATION ALGORITHM FOR CHINESE

    Richard Sproat;Chilin Shih;William Gale;Nancy Chang

Frequent Co-Authors

Jan P. H. van Santen
Jan P. H. van Santen Oregon Health & Science University
Brian Roark
Brian Roark Google (United States)
Michael Riley
Michael Riley Google (United States)
Fernando Pereira
Fernando Pereira Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Alan W. Black
Alan W. Black Carnegie Mellon University
Owen Rambow
Owen Rambow Stony Brook University
Mehryar Mohri
Mehryar Mohri Google (United States)
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Julia Hirschberg
Julia Hirschberg Columbia University

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