Shankar Kumar

According to our database, Shankar Kumar authored at least 64 papers between 1995 and 2024.

Collaborative distances:

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

2024

Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models.

Felix Stahlberg, Jared Lichtarge, Shankar Kumar

CoRR, 2024

Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices.

Leonid Velikovich, Christopher Li, Diamantino Caseiro, Shankar Kumar, Pat Rondon, Kandarp Joshi, Xavier Velez

CoRR, 2024

Towards an On-device Agent for Text Rewriting.

Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models.

Felix Stahlberg, Shankar Kumar

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2023

Measuring Re-identification Risk.

CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong

Proc. ACM Manag. Data, 2023

Heterogeneous Federated Learning Using Knowledge Codistillation.

Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews

CoRR, 2023

Fast Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR.

W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks.

Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar

Proceedings of the IEEE International Conference on Acoustics, 2023

Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models.

Arya McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improved Long-Form Spoken Language Translation with Large Language Models.

Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng

CoRR, 2022

Conciseness: An Overlooked Language Task.

Felix Stahlberg, Aashish Kumar, Chris Alberti, Shankar Kumar

CoRR, 2022

Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models.

Jared Lichtarge, Chris Alberti, Shankar Kumar

CoRR, 2022

Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

CoRR, 2022

Scaling Language Model Size in Cross-Device Federated Learning.

Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews

CoRR, 2022

Transformer-based Models of Text Normalization for Speech Applications.

Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar

CoRR, 2022

Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES.

Felix Stahlberg, Shankar Kumar

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition.

W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model.

Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews

Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models.

Felix Stahlberg, Ilia Kulikov, Shankar Kumar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network.

Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews

CoRR, 2021

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition.

W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models.

Felix Stahlberg, Shankar Kumar

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

Data Strategies for Low-Resource Grammatical Error Correction.

Simon Flachs, Felix Stahlberg, Shankar Kumar

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021

2020

Data Weighted Training Strategies for Grammatical Error Correction.

Jared Lichtarge, Chris Alberti, Shankar Kumar

Trans. Assoc. Comput. Linguistics, 2020

Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus.

Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss.

Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Seq2Edits: Sequence Transduction Using Span-level Edit Operations.

Felix Stahlberg, Shankar Kumar

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

2019

Neural Language Modeling with Visual Features.

Antonios Anastasopoulos, Shankar Kumar, Hank Liao

CoRR, 2019

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

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

Corpora Generation for Grammatical Error Correction.

Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Weakly Supervised Grammatical Error Correction using Iterative Decoding.

Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar

CoRR, 2018

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models.

Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation.

Min Ma, Shankar Kumar, Fadi Biadsy, Michael Nirschl, Tomas Vykruta, Pedro J. Moreno

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling.

Kazuki Irie, Shankar Kumar, Michael Nirschl, Hank Liao

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Conversational Neural Language Model for Speech Recognition in Digital Assistants.

Eunjoon Cho, Shankar Kumar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Approaches for Neural-Network Language Model Adaptation.

Min Ma, Michael Nirschl, Fadi Biadsy, Shankar Kumar

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Lattice rescoring strategies for long short term memory language models in speech recognition.

Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition.

Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Multilingual Open Relation Extraction Using Cross-lingual Projection.

Manaal Faruqui, Shankar Kumar

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2012

Large Scale Language Modeling in Automatic Speech Recognition

Ciprian Chelba, Dan Bikel, Maria Shugrina, Patrick Nguyen, Shankar Kumar

CoRR, 2012

2010

Model Combination for Machine Translation.

John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Expected Sequence Similarity Maximization.

Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

2009

Design validation of service delivery platform using modeling and simulation.

Tony Ingham, Sandeep Rajhans, Dhiraj Kumar Sinha, Kalyani Sastry, Shankar Kumar

IEEE Commun. Mag., 2009

Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices.

Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Josef Och

Proceedings of the ACL 2009, 2009

2008

Video suggestion and discovery for youtube: taking random walks through the view graph.

Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly

Proceedings of the 17th International Conference on World Wide Web, 2008

Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation.

Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfgang Macherey

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Segmentation and alignment of parallel text for statistical machine translation.

Yonggang Deng, Shankar Kumar, William Byrne

Nat. Lang. Eng., 2007

Improving Word Alignment with Bridge Languages.

Shankar Kumar, Franz Josef Och, Wolfgang Macherey

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition".

Vaibhava Goel, Shankar Kumar, William Byrne

IEEE Trans. Speech Audio Process., 2006

A weighted finite state transducer translation template model for statistical machine translation.

Shankar Kumar, Yonggang Deng, William Byrne

Nat. Lang. Eng., 2006

2005

Local Phrase Reordering Models for Statistical Machine Translation.

Shankar Kumar, William J. Byrne

Proceedings of the HLT/EMNLP 2005, 2005

2004

Segmental minimum Bayes-risk decoding for automatic speech recognition.

Vaibhava Goel, Shankar Kumar, William Byrne

IEEE Trans. Speech Audio Process., 2004

A Smorgasbord of Features for Statistical Machine Translation.

Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alexander M. Fraser, Shankar Kumar, Libin Shen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, Dragomir R. Radev

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

Minimum Bayes-Risk Decoding for Statistical Machine Translation.

Shankar Kumar, William J. Byrne

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

2003

A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation.

Shankar Kumar, William J. Byrne

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

2002

Risk based lattice cutting for segmental minimum Bayes-risk decoding.

Shankar Kumar, William Byrne

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Minimum Bayes-Risk Word Alignments of Bilingual Texts.

Shankar Kumar, William Byrne

Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002

2001

Normalization of non-standard words.

Richard Sproat, Alan W. Black, Stanley F. Chen, Shankar Kumar, Mari Ostendorf, Christopher Richards

Comput. Speech Lang., 2001

Confidence based lattice segmentation and minimum Bayes-risk decoding.

Vaibhava Goel, Shankar Kumar, William Byrne

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000

Unifying HMM and phone-pair segment models.

Hsiao-Wuen Hon, Shankar Kumar, Kuansan Wang

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Segmental minimum Bayes-risk ASR voting strategies.

Vaibhava Goel, Shankar Kumar, William Byrne

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1996

Method for free-energy calculations using iterative techniques.

Shankar Kumar, Philip W. Payne, Maximiliano Vásquez

J. Comput. Chem., 1996

1995

Multidimensional Free-Energy Calculations Using the Weighted Histogram Analysis Method.

Shankar Kumar, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen, Peter A. Kollman

J. Comput. Chem., 1995