Prashant Mathur

According to our database, Prashant Mathur authored at least 42 papers between 2011 and 2024.

Collaborative distances:

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

2024

HPVsim: An agent-based model of HPV transmission and cervical disease.

Robyn M. Stuart, Jamie A. Cohen, Cliff C. Kerr, Prashant Mathur, Romesh G. Abeysuriya, Marita Zimmermann, Darcy W. Rao, Mariah C. Boudreau, Serin Lee, Luojun Yang, Daniel J. Klein

PLoS Comput. Biol., 2024

Zero-resource Speech Translation and Recognition with LLMs.

Karel Mundnich, Xing Niu, Prashant Mathur, Srikanth Ronanki, Brady Houston, Veera Raghavendra Elluru, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Anshu Bhatia, Daniel Garcia-Romero, Kyu J. Han, Katrin Kirchhoff

CoRR, 2024

Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation.

Lucas Goncalves, Prashant Mathur, Xing Niu, Brady Houston, Chandrashekhar Lavania, Srikanth Vishnubhotla, Lijia Sun, Anthony Ferritto

CoRR, 2024

Findings of the IWSLT 2024 Evaluation Campaign.

Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, William Chen, Qianqian Dong, Marcello Federico, Barry Haddow, Dávid Javorský, Mateusz Krubinski, Tsz Kin Lam, Xutai Ma, Prashant Mathur, Evgeny Matusov, Chandresh Maurya, John P. McCrae, Kenton Murray, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Sara Papi, Peter Polák, Adam Pospísil, Pavel Pecina, Elizabeth Salesky, Nivedita Sethiya, Balaram Sarkar, Jiatong Shi, Claytone Sikasote, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Brian Thompson, Marco Turchi, Alex Waibel, Shinji Watanabe, Patrick Wilken, Petr Zemánek, Rodolfo Zevallos

CoRR, 2024

SpeechVerse: A Large-scale Generalizable Audio Language Model.

Nilaksh Das, Saket Dingliwal, Srikanth Ronanki, Rohit Paturi, Zhaocheng Huang, Prashant Mathur, Jie Yuan, Dhanush Bekal, Xing Niu, Sai Muralidhar Jayanthi, Xilai Li, Karel Mundnich, Monica Sunkara, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff

CoRR, 2024

PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores.

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han

CoRR, 2024

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores.

Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing.

Alexandra Chronopoulou, Brian Thompson, Prashant Mathur, Yogesh Virkar, Surafel Melaku Lakew, Marcello Federico

CoRR, 2023

VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks.

Chetanya Kunndra, Arjun Choudhary, Jaspreet Kaur, Prashant Mathur

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2023

Findings of the IWSLT 2023 Evaluation Campaign.

Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Estève, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, Dávid Javorský, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polák, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibel, Mingxuan Wang, Shinji Watanabe, Rodolfo Zevallos

Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters.

Proyag Pal, Brian Thompson, Yogesh Virkar, Prashant Mathur, Alexandra Chronopoulou, Marcello Federico

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

End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation.

Juan Pablo Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions.

Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico

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

Automatic Evaluation and Analysis of Idioms in Neural Machine Translation.

Christos Baziotis, Prashant Mathur, Eva Hasler

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions.

Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico

CoRR, 2022

Sockeye 3: Fast Neural Machine Translation with PyTorch.

Felix Hieber, Michael J. Denkowski, Tobias Domhan, Barbara Darques Barros, Celina Dong Ye, Xing Niu, Cuong Hoang, Ke Tran, Benjamin Hsu, Maria Nadejde, Surafel Melaku Lakew, Prashant Mathur, Marcello Federico, Anna Currey

CoRR, 2022

Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric.

Giorgos Vernikos, Brian Thompson, Prashant Mathur, Marcello Federico

Proceedings of the Seventh Conference on Machine Translation, 2022

Findings of the IWSLT 2022 Evaluation Campaign.

Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, Marcely Zanon Boito, Ondrej Bojar, Roldano Cattoni, Anna Currey, Georgiana Dinu, Kevin Duh, Maha Elbayad, Clara Emmanuel, Yannick Estève, Marcello Federico, Christian Federmann, Souhir Gahbiche, Hongyu Gong, Roman Grundkiewicz, Barry Haddow, Benjamin Hsu, Dávid Javorský, Vera Kloudová, Surafel Melaku Lakew, Xutai Ma, Prashant Mathur, Paul McNamee, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, John Ortega, Juan Miguel Pino, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Marco Turchi, Yogesh Virkar, Alexander Waibel, Changhan Wang, Shinji Watanabe

Proceedings of the 19th International Conference on Spoken Language Translation, 2022

Isochrony-Aware Neural Machine Translation for Automatic Dubbing.

Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico

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

ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing.

Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Prosody-Aware Neural Machine Translation for Dubbing.

Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico

CoRR, 2021

Faithful Target Attribute Prediction in Neural Machine Translation.

Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey

CoRR, 2021

Improving Gender Translation Accuracy with Filtered Self-Training.

Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu

CoRR, 2021

GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation.

Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Joint Translation and Unit Conversion for End-to-end Localization.

Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan

Proceedings of the 17th International Conference on Spoken Language Translation, 2020

Distilling Multiple Domains for Neural Machine Translation.

Anna Currey, Prashant Mathur, Georgiana Dinu

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

Evaluating Robustness to Input Perturbations for Neural Machine Translation.

Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Training Neural Machine Translation to Apply Terminology Constraints.

Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Multi-lingual neural title generation for e-Commerce browse pages.

Prashant Mathur, Nicola Ueffing, Gregor Leusch

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generating E-Commerce Product Titles and Predicting their Quality.

José Guilherme Camargo de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi, Evgeny Matusov

Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017

Adaptation Methods for Statistical Machine Translation In Business Scenarios.

Prashant Mathur

PhD thesis, 2017

Generating titles for millions of browse pages on an e-Commerce site.

Prashant Mathur, Nicola Ueffing, Gregor Leusch

Proceedings of the 10th International Conference on Natural Language Generation, 2017

2016

Modern MT: a new open-source machine translation platform for the translation industry.

Ulrich Germann, Eduard Barbu, Luisa Bentivogli, Nicola Bertoldi, Nikolay Bogoychev, Christian Buck, Davide Caroselli, Luis Carvalho, Alessandro Cattelan, Mauro Cettolo, Marcello Federico, Barry Haddow, David Madl, Luca Mastrostefano, Prashant Mathur, Achim Ruopp, Anna Samiotou, Vinod Sudharshan, Marco Trombetti, Jan van der Meer

Proceedings of the 19th Annual Conference of the European Association for Machine Translation: Projects/Products, 2016

2015

Topic adaptation for machine translation of e-commerce content.

Prashant Mathur, Marcello Federico, Selçuk Köprü, Sharam Khadivi, Hassan Sawaf

Proceedings of Machine Translation Summit XV: Papers, 2015

2014

Fast Domain Adaptation of SMT models without in-Domain Parallel Data.

Prashant Mathur, Sriram Venkatapathy, Nicola Cancedda

Proceedings of the COLING 2014, 2014

Online multi-user adaptive statistical machine translation.

Prashant Mathur, Mauro Cettolo, Marcello Federico, José G. C. de Souza

Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track, 2014

Optimized MT online learning in computer assisted translation.

Prashant Mathur, Mauro Cettolo

Proceedings of the Workshop on Interactive and Adaptive Machine Translation, 2014

2013

Recommending Machine Translation Output to Translators by Estimating Translation Effort: A Case Study.

Prashant Mathur, Nick Ruiz, Marcello Federico

Polibits, 2013

Online Learning Approaches in Computer Assisted Translation.

Prashant Mathur, Mauro Cettolo, Marcello Federico

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

FBK's machine translation systems for the IWSLT 2013 evaluation campaign.

Nicola Bertoldi, M. Amin Farajian, Prashant Mathur, Nicholas Ruiz, Marcello Federico

Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

2012

Integration of a Noun Compound Translator Tool with Moses for English-Hindi Machine Translation and Evaluation.

Prashant Mathur, Soma Paul

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

2011

The Uppsala-FBK systems at WMT 2011.

Christian Hardmeier, Jörg Tiedemann, Markus Saers, Marcello Federico, Prashant Mathur

Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011