World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7349
World Ranking
8397
National Ranking
3595

Overview

George Foster is a researcher affiliated with Google in the United States. Their scholarly work primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence and Control and Systems Engineering.

Their research covers several core topics including Natural Language Processing Techniques, Topic Modeling, Text Readability and Simplification, as well as Fault Detection and Control Systems. These areas reflect an interdisciplinary approach combining language technologies with industrial applications.

Foster has contributed to multiple publication venues, with a particular presence in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal

Recent papers authored by Foster include:

  • "Human-Paraphrased References Improve Neural Machine Translation" (2020), published in arXiv (Cornell University)
  • "Finding Replicable Human Evaluations via Stable Ranking Probability" (2024), published in arXiv (Cornell University)
  • "A Time Series Diagnosis Method for Industrial Equipment Faults Combining Complex-Valued Spectral Attention and Deformable Convolution" (2025), published in SSRN Electronic Journal

Foster's collaborative network includes frequent coauthors such as Markus Freitag, David Grangier, Colin Cherry, Parker Riley, and Daniel Deutsch, indicating active involvement in joint research efforts.

Best Publications

  • Using cognates to align sentences in bilingual corpora

    Michel Simard;George F. Foster;Pierre Isabelle

  • Confidence estimation for machine translation

    John Blatz;Erin Fitzgerald;George Foster;Simona Gandrabur

  • Batch Tuning Strategies for Statistical Machine Translation

    Colin Cherry;George Foster

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

    Naveen Arivazhagan;Ankur Bapna;Orhan Firat;Dmitry Lepikhin

  • Mixture-Model Adaptation for SMT

    George Foster;Roland Kuhn

  • Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • Improving Translation Quality by Discarding Most of the Phrasetable

    Howard Johnson;Joel Martin;George Foster;Roland Kuhn

  • Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation

    George Foster;Cyril Goutte;Roland Kuhn

  • Means and Method for Adapted Language Translation

    George Foster;Roland Kuhn

  • Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation.

    Markus Freitag;George F. Foster;David Grangier;Viresh Ratnakar

  • A Challenge Set Approach to Evaluating Machine Translation

    Pierre Isabelle;Colin Cherry;George F. Foster

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Target-Text Mediated Interactive Machine Translation

    George Foster;Pierre Isabelle;Pierre Plamondon

  • TransType: a computer-aided translation typing system

    Philippe Langlais;George Foster;Guy Lapalme

  • Phrasetable Smoothing for Statistical Machine Translation

    George Foster;Roland Kuhn;Howard Johnson

  • Revisiting Character-Based Neural Machine Translation with Capacity and Compression

    Colin Andrew Cherry;George Foster;Ankur Bapna;Orhan Firat

  • Translation analysis and translation automation

    Pierre Isabelle;Marc Dymetman;George Foster;Jean-Marc Jutras

  • Confidence estimation for translation prediction

    Simona Gandrabur;George Foster

  • User-Friendly Text Prediction For Translators

    George Foster;Philippe Langlais;Guy Lapalme

Frequent Co-Authors

Roland Kuhn
Roland Kuhn National Research Council Canada
Colin Cherry
Colin Cherry Google (Canada)
Cyril Goutte
Cyril Goutte National Research Council Canada
Guy Lapalme
Guy Lapalme University of Montreal
Zhifeng Chen
Zhifeng Chen Google (United States)
Yonghui Wu
Yonghui Wu Google (United States)
David Grangier
David Grangier Google (United States)
Marc G. Bellemare
Marc G. Bellemare Google (United States)
Yuan Cao
Yuan Cao Google (United States)
Jian-Yun Nie
Jian-Yun Nie University of Montreal

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