Jason Riesa

According to our database, Jason Riesa authored at least 21 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multimodal Modeling For Spoken Language Identification.

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa

CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu

CoRR, 2023

SQuId: Measuring Speech Naturalness in Many Languages.

Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation.

Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant

CoRR, 2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

mSLAM: Massively multilingual joint pre-training for speech and text.

Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau

CoRR, 2022

FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech.

Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

XTREME-S: Evaluating Cross-lingual Speech Representations.

Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson

Proceedings of the Interspeech 2022, 2022

2021

SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training.

Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang

CoRR, 2021

2020

Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition.

Henry Tsai, Jayden Ooi, Chun-Sung Ferng, Hyung Won Chung, Jason Riesa

CoRR, 2020

Improving Multilingual Models with Language-Clustered Vocabularies.

Hyung Won Chung, Dan Garrette, Kiat Chuan Tan, Jason Riesa

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

CoRR, 2019

Small and Practical BERT Models for Sequence Labeling.

Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text.

Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean

CoRR, 2016

2012

Automatic Parallel Fragment Extraction from Noisy Data.

Jason Riesa, Daniel Marcu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011

Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation.

Jason Riesa, Ann Irvine, Daniel Marcu

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

2010

Hierarchical Search for Word Alignment.

Jason Riesa, Daniel Marcu

Proceedings of the ACL 2010, 2010

2006

Building an English-iraqi Arabic machine translation system for spoken utterances with limited resources.

Jason Riesa, Behrang Mohit, Kevin Knight, Daniel Marcu

Proceedings of the INTERSPEECH 2006, 2006

Minimally Supervised Morphological Segmentation with Applications to Machine Translation.

Jason Riesa, David Yarowsky

Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers, 2006