The Uppsala-FBK systems at WMT 2011. - Christian Hardmeier; Jörg Tiedemann; Markus Saers; Marcello Federico; Prashant Mathur (WMT@EMNLP, 2011)

Integration of a Noun Compound Translator Tool with Moses for English-Hindi Machine Translation and Evaluation. - Prashant Mathur; Soma Paul (CICLing (2), 2012)

FBK's machine translation systems for the IWSLT 2013 evaluation campaign. - Nicola Bertoldi; M. Amin Farajian; Prashant Mathur; Nicholas Ruiz; Marcello Federico (IWSLT (Evaluation Campaign), 2013)

Online Learning Approaches in Computer Assisted Translation. - Prashant Mathur; Mauro Cettolo; Marcello Federico (WMT@ACL, 2013)

Recommending Machine Translation Output to Translators by Estimating Translation Effort: A Case Study. - Prashant Mathur; Nick Ruiz; Marcello Federico (Polibits, 2013)

Optimized MT online learning in computer assisted translation. - Prashant Mathur; Mauro Cettolo (AMTA (IAMT), 2014)

Online multi-user adaptive statistical machine translation. - Prashant Mathur; Mauro Cettolo; Marcello Federico; José G. C. de Souza (AMTA, 2014)

Fast Domain Adaptation of SMT models without in-Domain Parallel Data. - Prashant Mathur; Sriram Venkatapathy; Nicola Cancedda (COLING, 2014)

Topic adaptation for machine translation of e-commerce content. - Prashant Mathur; Marcello Federico; Selçuk Köprü; Sharam Khadivi; Hassan Sawaf (MTSummit, 2015)

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; et al. (EAMT (Projects/Products), 2016)

Generating titles for millions of browse pages on an e-Commerce site. - Prashant Mathur; Nicola Ueffing; Gregor Leusch (INLG, 2017)

Adaptation Methods for Statistical Machine Translation In Business Scenarios. - Prashant Mathur (2017)

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 (INLG, 2018)

Multi-lingual neural title generation for e-Commerce browse pages. - Prashant Mathur; Nicola Ueffing; Gregor Leusch (NAACL-HLT (3), 2018)

Training Neural Machine Translation to Apply Terminology Constraints. - Georgiana Dinu; Prashant Mathur; Marcello Federico; Yaser Al-Onaizan (ACL (1), 2019)

Evaluating Robustness to Input Perturbations for Neural Machine Translation. - Xing Niu 001; Prashant Mathur; Georgiana Dinu; Yaser Al-Onaizan (ACL, 2020)

Distilling Multiple Domains for Neural Machine Translation. - Anna Currey; Prashant Mathur; Georgiana Dinu (EMNLP (1), 2020)

Joint Translation and Unit Conversion for End-to-end Localization. - Georgiana Dinu; Prashant Mathur; Marcello Federico; Stanislas Lauly; Yaser Al-Onaizan (IWSLT, 2020)

GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. - Prafulla Kumar Choubey; Anna Currey; Prashant Mathur; Georgiana Dinu (EMNLP (1), 2021)

Improving Gender Translation Accuracy with Filtered Self-Training. - Prafulla Kumar Choubey; Anna Currey; Prashant Mathur; Georgiana Dinu (CoRR, 2021)

Faithful Target Attribute Prediction in Neural Machine Translation. - Xing Niu 001; Georgiana Dinu; Prashant Mathur; Anna Currey (CoRR, 2021)

Prosody-Aware Neural Machine Translation for Dubbing. - Derek Tam; Surafel Melaku Lakew; Yogesh Virkar; Prashant Mathur; Marcello Federico (CoRR, 2021)

ISOMETRIC MT: Neural Machine Translation for Automatic Dubbing. - Surafel Melaku Lakew; Yogesh Virkar; Prashant Mathur; Marcello Federico (ICASSP, 2022)

Isochrony-Aware Neural Machine Translation for Automatic Dubbing. - Derek Tam; Surafel Melaku Lakew; Yogesh Virkar; Prashant Mathur; Marcello Federico (INTERSPEECH, 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; et al. (IWSLT@ACL, 2022)

Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric. - Giorgos Vernikos; Brian Thompson 001; Prashant Mathur; Marcello Federico (WMT, 2022)

Sockeye 3: Fast Neural Machine Translation with PyTorch. - Felix Hieber; Michael J. Denkowski; Tobias Domhan; Barbara Darques Barros; Celina Dong Ye; Xing Niu 001; Cuong Hoang; Ke Tran; Benjamin Hsu; Maria Nadejde; Surafel Melaku Lakew; Prashant Mathur; et al. (CoRR, 2022)

Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions. - Cuong Hoang; Devendra Sachan; Prashant Mathur; Brian Thompson 001; Marcello Federico (CoRR, 2022)

Automatic Evaluation and Analysis of Idioms in Neural Machine Translation. - Christos Baziotis; Prashant Mathur; Eva Hasler (EACL, 2023)

Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. - Cuong Hoang; Devendra Sachan; Prashant Mathur; Brian Thompson 001; Marcello Federico (EACL (Findings), 2023)

End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation. - Juan Pablo Zuluaga-Gomez; Zhaocheng Huang; Xing Niu 001; Rohit Paturi; Sundararajan Srinivasan; Prashant Mathur; Brian Thompson 001; Marcello Federico (EMNLP, 2023)

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters. - Proyag Pal; Brian Thompson 001; Yogesh Virkar; Prashant Mathur; Alexandra Chronopoulou; Marcello Federico (INTERSPEECH, 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; et al. (IWSLT@ACL, 2023)

VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks. - Chetanya Kunndra; Arjun Choudhary; Jaspreet Kaur; Prashant Mathur (RTIP2R (2), 2023)

Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing. - Alexandra Chronopoulou; Brian Thompson 001; Prashant Mathur; Yogesh Virkar; Surafel Melaku Lakew; Marcello Federico (CoRR, 2023)

Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores. - Lucas Goncalves; Prashant Mathur; Chandrashekhar Lavania; Metehan Cekic; Marcello Federico; Kyu J. Han (ECCV (79), 2024)

Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders. - Georgios Chochlakis; Chandrashekhar Lavania; Prashant Mathur; Kyu J. Han (INTERSPEECH, 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)

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 001; Sai Muralidhar Jayanthi; Xilai Li; Karel Mundnich; et al. (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; et al. (CoRR, 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)

Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation. - Lucas Goncalves; Prashant Mathur; Xing Niu 001; Chandrashekhar Lavania; Brady Houston; Srikanth Vishnubhotla; Lijia Sun; Anthony Ferritto (ICASSP, 2025)

Zero-resource Speech Translation and Recognition with LLMs. - Karel Mundnich; Xing Niu 001; Prashant Mathur; Srikanth Ronanki; Brady Houston; Veera Raghavendra Elluru; Nilaksh Das; Zejiang Hou; Goeric Huybrechts; Anshu Bhatia; Daniel Garcia-Romero; Kyu J. Han; et al. (ICASSP, 2025)

How to Talk to Language Models: Serialization Strategies for Structured Entity Matching. - Haoteng Yin; Jinha Kim; Prashant Mathur; Krishanu Sarker; Vidit Bansal (NAACL (Findings), 2025)