World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8022
World Ranking
5963
National Ranking
2686

Overview

Ciprian Chelba is affiliated with Google in the United States and has contributed extensively to the field of Computer Science, with a focus on Artificial Intelligence. Their research spans multiple subfields including Signal Processing, Information Systems, and Computer Vision and Pattern Recognition.

The scientist's work centers on key topics such as Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis, Software Engineering Research, Domain Adaptation and Few-Shot Learning, Machine Learning and Data Classification, and Semantic Web and Ontologies.

Their recent publications include:

  • Scaling Laws for Neural Machine Translation, 2021, arXiv (Cornell University)
  • Faster Transformer Decoding: N-gram Masked Self-Attention, 2020, arXiv (Cornell University)
  • Multi-Stage Influence Function, 2020, arXiv (Cornell University)
  • Practical Perspectives on Quality Estimation for Machine Translation, 2020, arXiv (Cornell University)
  • Data Troubles in Sentence Level Confidence Estimation for Machine Translation, 2020, arXiv (Cornell University)

Frequent coauthors in their collaborations include Ankur Bapna, Junpei Zhou, Johan Schalkwyk, Behrooz Ghorbani, and Orhan Fırat.

The primary venue for their publications is arXiv (Cornell University), with eight papers published there.

Best Publications

  • One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

    Ciprian Chelba;Tomas Mikolov;Mike Schuster;Qi Ge

  • “Your Word is my Command”: Google Search by Voice: A Case Study

    Johan Schalkwyk;Doug Beeferman;Françoise Beaufays;Bill Byrne

  • Structured language modeling

    Ciprian Chelba;Frederick Jelinek

  • One billion word benchmark for measuring progress in statistical language modeling.

    Ciprian Chelba;Tomas Mikolov;Mike Schuster;Qi Ge

  • Adaptation of maximum entropy capitalizer: Little data can help a lot

    Ciprian Chelba;Alex Acero

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

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • Tagged Back-Translation

    Isaac Caswell;Ciprian Chelba;David Grangier

  • Exploiting Syntactic Structure for Language Modeling

    Ciprian Chelba;Frederick Jelinek

  • Retrieval and browsing of spoken content

    C. Chelba;T.J. Hazen;M. Saraclar

  • Expoiting Syntactic Structure for Language Modeling

    Ciprian Chelba;Frederick Jelinek

  • Is word error rate a good indicator for spoken language understanding accuracy

    Ye-Yi Wang;A. Acero;C. Chelba

  • Statistical classifiers for spoken language understanding and command/control scenarios

    Alejandro Acero;Ciprian Chelba;YeYi Wang;Leon Wong

  • Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo.

    Ciprian Chelba;Alex Acero

  • Speech index pruning

    Alejandro Acero;Ciprian I. Chelba;Jorge Silva F. Sanchez

  • Applying a structured language model to information extraction

    Ciprian Chelba;Milind Mahajan

  • Effects of Language Modeling and its Personalization on Touchscreen Typing Performance

    Andrew Fowler;Kurt Partridge;Ciprian Chelba;Xiaojun Bi

  • System for using statistical classifiers for spoken language understanding

    Alejandro Acero;Ciprian Chelba;Ye-Yi Wang;Leon Wong

  • Discrimination training of language model for classifying text and sound

    Alejandro Acero;Ciprian Chelba;Milind Mahajan;アセロ アレサンドロ

  • Crowd-sourced audio shortcuts

    Noah B. Coccaro;Ciprian I. Chelba

  • Language model adaptation using semantic supervision

    Ciprian Chelba;Milind Mahajan;Alejandro Acero;Yik-Cheung Tam

Frequent Co-Authors

Alejandro Acero
Alejandro Acero Apple (United States)
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Shumin Zhai
Shumin Zhai Google (United States)
Ye-Yi Wang
Ye-Yi Wang Microsoft (United States)
Noam Shazeer
Noam Shazeer Google (United States)
Fernando Pereira
Fernando Pereira Google (United States)
Yang Li
Yang Li Shanghai Jiao Tong University
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Li Deng
Li Deng Citadel
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague

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