Prashant Mathur

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 35

Top Venues

CoRR

INLG

IWSLT@ACL

EMNLP (1)

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

Chetanya Kunndra, Arjun Choudhary, Jaspreet Kaur, Prashant Mathur
VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks. RTIP2R (2) (2023)
Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. EACL (Findings) (2023)
Juan Pablo Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. EMNLP (2023)
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
Findings of the IWSLT 2023 Evaluation Campaign. IWSLT@ACL (2023)
Alexandra Chronopoulou, Brian Thompson, Prashant Mathur, Yogesh Virkar, Surafel Melaku Lakew, Marcello Federico
Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing. CoRR (2023)
Christos Baziotis, Prashant Mathur, Eva Hasler
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. EACL (2023)
Proyag Pal, Brian Thompson, Yogesh Virkar, Prashant Mathur, Alexandra Chronopoulou, Marcello Federico
Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters. CoRR (2023)
Juan Zuluaga-Gomez, Zhaocheng Huang, Xing Niu, Rohit Paturi, Sundararajan Srinivasan, Prashant Mathur, Brian Thompson, Marcello Federico
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. CoRR (2023)
Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico
Isochrony-Aware Neural Machine Translation for Automatic Dubbing. INTERSPEECH (2022)
Giorgos Vernikos, Brian Thompson, Prashant Mathur, Marcello Federico
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric. CoRR (2022)
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
Findings of the IWSLT 2022 Evaluation Campaign. IWSLT@ACL (2022)
Christos Baziotis, Prashant Mathur, Eva Hasler
Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. CoRR (2022)
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
Sockeye 3: Fast Neural Machine Translation with PyTorch. CoRR (2022)
Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions. CoRR (2022)
Giorgos Vernikos, Brian Thompson, Prashant Mathur, Marcello Federico
Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric. WMT (2022)
Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico
ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing. ICASSP (2022)
Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. CoRR (2022)
Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu
GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. EMNLP (1) (2021)
Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico
Prosody-Aware Neural Machine Translation for Dubbing. CoRR (2021)
Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu
Improving Gender Translation Accuracy with Filtered Self-Training. CoRR (2021)
Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico
Isometric MT: Neural Machine Translation for Automatic Dubbing. CoRR (2021)
Xing Niu, Georgiana Dinu, Prashant Mathur, Anna Currey
Faithful Target Attribute Prediction in Neural Machine Translation. CoRR (2021)
Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
Joint translation and unit conversion for end-to-end localization. CoRR (2020)
Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
Joint Translation and Unit Conversion for End-to-end Localization. IWSLT (2020)
Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan
Evaluating Robustness to Input Perturbations for Neural Machine Translation. ACL (2020)
Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan
Evaluating Robustness to Input Perturbations for Neural Machine Translation. CoRR (2020)
Anna Currey, Prashant Mathur, Georgiana Dinu
Distilling Multiple Domains for Neural Machine Translation. EMNLP (1) (2020)
Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan
Training Neural Machine Translation To Apply Terminology Constraints. CoRR (2019)
Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan
Training Neural Machine Translation to Apply Terminology Constraints. ACL (1) (2019)
Prashant Mathur, Nicola Ueffing, Gregor Leusch
Multi-lingual neural title generation for e-Commerce browse pages. NAACL-HLT (3) (2018)
José Guilherme Camargo de Souza, Michael Kozielski, Prashant Mathur, Ernie Chang, Marco Guerini, Matteo Negri, Marco Turchi, Evgeny Matusov
Generating E-Commerce Product Titles and Predicting their Quality. INLG (2018)
Prashant Mathur, Nicola Ueffing, Gregor Leusch
Multi-lingual neural title generation for e-Commerce browse pages. CoRR (2018)
Prashant Mathur, Nicola Ueffing, Gregor Leusch
Generating titles for millions of browse pages on an e-Commerce site. INLG (2017)
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
Modern MT: a new open-source machine translation platform for the translation industry. EAMT (Projects/Products) (2016)
Prashant Mathur, Marcello Federico, Selçuk Köprü, Sharam Khadivi, Hassan Sawaf
Topic adaptation for machine translation of e-commerce content. MTSummit (2015)
Prashant Mathur, Mauro Cettolo
Optimized MT online learning in computer assisted translation. AMTA (IAMT) (2014)
Prashant Mathur, Sriram Venkatapathy, Nicola Cancedda
Fast Domain Adaptation of SMT models without in-Domain Parallel Data. COLING (2014)
Prashant Mathur, Mauro Cettolo, Marcello Federico, José G. C. de Souza
Online multi-user adaptive statistical machine translation. AMTA (2014)
Nicola Bertoldi, M. Amin Farajian, Prashant Mathur, Nicholas Ruiz, Marcello Federico
FBK's machine translation systems for the IWSLT 2013 evaluation campaign. IWSLT (Evaluation Campaign) (2013)
Prashant Mathur, Nick Ruiz, Marcello Federico
Recommending Machine Translation Output to Translators by Estimating Translation Effort: A Case Study. Polibits 47 (2013)
Prashant Mathur, Mauro Cettolo, Marcello Federico
Online Learning Approaches in Computer Assisted Translation. WMT@ACL (2013)
Prashant Mathur, Soma Paul
Integration of a Noun Compound Translator Tool with Moses for English-Hindi Machine Translation and Evaluation. CICLing (2) (2012)
Christian Hardmeier, Jörg Tiedemann, Markus Saers, Marcello Federico, Prashant Mathur
The Uppsala-FBK systems at WMT 2011. WMT@EMNLP (2011)

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Publication Activity (10 Years)

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Prashant Mathur