Shankar Kumar

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 53

Top Topics

Semantic Segmentation

Error Correction

Weakly Supervised

Top Venues

Publications

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
Fast Text Generation with Text-Editing Models. KDD (2023)
Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. CoRR (2023)
Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng
Towards an On-device Agent for Text Rewriting. CoRR (2023)
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
Measuring Re-identification Risk. Proc. ACM Manag. Data 1 (2) (2023)
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
Measuring Re-identification Risk. CoRR (2023)
Jared Lichtarge, Ehsan Amid, Shankar Kumar, Tien-Ju Yang, Rohan Anil, Rajiv Mathews
Heterogeneous Federated Learning Using Knowledge Codistillation. CoRR (2023)
W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH (2023)
Arya McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Ke Wu
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models. EMNLP (Findings) (2023)
W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR (2023)
Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP (2023)
W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR (2022)
Felix Stahlberg, Ilia Kulikov, Shankar Kumar
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. ACL (1) (2022)
Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng
Improved Long-Form Spoken Language Translation with Large Language Models. CoRR (2022)
Jared Lichtarge, Chris Alberti, Shankar Kumar
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models. CoRR (2022)
Felix Stahlberg, Aashish Kumar, Chris Alberti, Shankar Kumar
Conciseness: An Overlooked Language Task. CoRR (2022)
Jae Hun Ro, Felix Stahlberg, Ke Wu, Shankar Kumar
Transformer-based Models of Text Normalization for Speech Applications. CoRR (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR (2022)
Jae Hun Ro, Theresa Breiner, Lara McConnaughey, Mingqing Chen, Ananda Theertha Suresh, Shankar Kumar, Rajiv Mathews
Scaling Language Model Size in Cross-Device Federated Learning. CoRR (2022)
Felix Stahlberg, Ilia Kulikov, Shankar Kumar
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models. CoRR (2022)
Felix Stahlberg, Shankar Kumar
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. CoRR (2022)
Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
Text Generation with Text-Editing Models. CoRR (2022)
W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP (2022)
Felix Stahlberg, Shankar Kumar
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. NAACL-HLT (2022)
Simon Flachs, Felix Stahlberg, Shankar Kumar
Data Strategies for Low-Resource Grammatical Error Correction. BEA@EACL (2021)
Felix Stahlberg, Shankar Kumar
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. BEA@EACL (2021)
W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR (2021)
Felix Stahlberg, Shankar Kumar
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models. CoRR (2021)
Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network. CoRR (2021)
W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech (2021)
Felix Stahlberg, Shankar Kumar
Seq2Edits: Sequence Transduction Using Span-level Edit Operations. CoRR (2020)
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. ICASSP (2020)
Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. INTERSPEECH (2020)
Jared Lichtarge, Chris Alberti, Shankar Kumar
Data Weighted Training Strategies for Grammatical Error Correction. Trans. Assoc. Comput. Linguistics 8 (2020)
Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. CoRR (2020)
Felix Stahlberg, Shankar Kumar
Seq2Edits: Sequence Transduction Using Span-level Edit Operations. EMNLP (1) (2020)
Jared Lichtarge, Chris Alberti, Shankar Kumar
Data Weighted Training Strategies for Grammatical Error Correction. CoRR (2020)
Cal Peyser, Sepand Mavandadi, Tara N. Sainath, James Apfel, Ruoming Pang, Shankar Kumar
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus. CoRR (2020)
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
Corpora Generation for Grammatical Error Correction. NAACL-HLT (1) (2019)
Antonios Anastasopoulos, Shankar Kumar, Hank Liao
Neural Language Modeling with Visual Features. CoRR (2019)
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
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
Corpora Generation for Grammatical Error Correction. CoRR (2019)
Eunjoon Cho, Shankar Kumar
A Conversational Neural Language Model for Speech Recognition in Digital Assistants. ICASSP (2018)
Min Ma, Shankar Kumar, Fadi Biadsy, Michael Nirschl, Tomas Vykruta, Pedro J. Moreno
Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation. ICASSP (2018)
Jared Lichtarge, Christopher Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar
Weakly Supervised Grammatical Error Correction using Iterative Decoding. CoRR (2018)
Kazuki Irie, Shankar Kumar, Michael Nirschl, Hank Liao
RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling. ICASSP (2018)
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
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. ICASSP (2018)
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
No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. CoRR (2017)
Min Ma, Michael Nirschl, Fadi Biadsy, Shankar Kumar
Approaches for Neural-Network Language Model Adaptation. INTERSPEECH (2017)
Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
Lattice rescoring strategies for long short term memory language models in speech recognition. ASRU (2017)
Shankar Kumar, Michael Nirschl, Daniel N. Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition. CoRR (2017)
Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier
NN-grams: Unifying neural network and n-gram language models for Speech Recognition. CoRR (2016)
Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier
NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition. INTERSPEECH (2016)
Manaal Faruqui, Shankar Kumar
Multilingual Open Relation Extraction Using Cross-lingual Projection. HLT-NAACL (2015)
Manaal Faruqui, Shankar Kumar
Multilingual Open Relation Extraction Using Cross-lingual Projection. CoRR (2015)
Ciprian Chelba, Dan Bikel, Maria Shugrina, Patrick Nguyen, Shankar Kumar
Large Scale Language Modeling in Automatic Speech Recognition CoRR (2012)
Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley
Expected Sequence Similarity Maximization. HLT-NAACL (2010)
John DeNero, Shankar Kumar, Ciprian Chelba, Franz Josef Och
Model Combination for Machine Translation. HLT-NAACL (2010)
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Franz Josef Och
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices. ACL/IJCNLP (2009)
Tony Ingham, Sandeep Rajhans, Dhiraj Kumar Sinha, Kalyani Sastry, Shankar Kumar
Design validation of service delivery platform using modeling and simulation. IEEE Commun. Mag. 47 (3) (2009)
Roy Tromble, Shankar Kumar, Franz Josef Och, Wolfgang Macherey
Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation. EMNLP (2008)
Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly
Video suggestion and discovery for youtube: taking random walks through the view graph. WWW (2008)
Shankar Kumar, Franz Josef Och, Wolfgang Macherey
Improving Word Alignment with Bridge Languages. EMNLP-CoNLL (2007)
Yonggang Deng, Shankar Kumar, William Byrne
Segmentation and alignment of parallel text for statistical machine translation. Nat. Lang. Eng. 13 (3) (2007)
Vaibhava Goel, Shankar Kumar, William Byrne
Corrections to "Segmental minimum Bayes-risk decoding for automatic speech recognition". IEEE Trans. Speech Audio Process. 14 (1) (2006)
Shankar Kumar, Yonggang Deng, William Byrne
A weighted finite state transducer translation template model for statistical machine translation. Nat. Lang. Eng. 12 (1) (2006)
Shankar Kumar, William J. Byrne
Local Phrase Reordering Models for Statistical Machine Translation. HLT/EMNLP (2005)
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
A Smorgasbord of Features for Statistical Machine Translation. HLT-NAACL (2004)
Vaibhava Goel, Shankar Kumar, William Byrne
Segmental minimum Bayes-risk decoding for automatic speech recognition. IEEE Trans. Speech Audio Process. 12 (3) (2004)
Shankar Kumar, William J. Byrne
Minimum Bayes-Risk Decoding for Statistical Machine Translation. HLT-NAACL (2004)
Shankar Kumar, William J. Byrne
A Weighted Finite State Transducer Implementation of the Alignment Template Model for Statistical Machine Translation. HLT-NAACL (2003)
Shankar Kumar, William Byrne
Minimum Bayes-Risk Word Alignments of Bilingual Texts. EMNLP (2002)
Shankar Kumar, William Byrne
Risk based lattice cutting for segmental minimum Bayes-risk decoding. INTERSPEECH (2002)
Richard Sproat, Alan W. Black, Stanley F. Chen, Shankar Kumar, Mari Ostendorf, Christopher Richards
Normalization of non-standard words. Comput. Speech Lang. 15 (3) (2001)
Vaibhava Goel, Shankar Kumar, William Byrne
Confidence based lattice segmentation and minimum Bayes-risk decoding. INTERSPEECH (2001)
Hsiao-Wuen Hon, Shankar Kumar, Kuansan Wang
Unifying HMM and phone-pair segment models. INTERSPEECH (2000)
Vaibhava Goel, Shankar Kumar, William Byrne
Segmental minimum Bayes-risk ASR voting strategies. INTERSPEECH (2000)
Shankar Kumar, Philip W. Payne, Maximiliano Vásquez
Method for free-energy calculations using iterative techniques. J. Comput. Chem. 17 (10) (1996)
Shankar Kumar, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen, Peter A. Kollman
Multidimensional Free-Energy Calculations Using the Weighted Histogram Analysis Method. J. Comput. Chem. 16 (11) (1995)