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Maria Nadejde
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2020 – today
- 2024
- [c18]Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Ron Litman, Yair Kittenplon, Raghavendra Reddy Pappagari:
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. NAACL (Short Papers) 2024: 499-507 - [i10]Benjamin Hsu, Xiaoyu Liu, Huayang Li, Yoshinari Fujinuma, Maria Nadejde, Xing Niu, Yair Kittenplon, Ron Litman, Raghavendra Reddy Pappagari:
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation. CoRR abs/2406.08255 (2024) - 2023
- [c17]Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde:
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. ACL (2) 2023: 1476-1490 - [c16]Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu:
Pseudo-label Training and Model Inertia in Neural Machine Translation. ICLR 2023 - [c15]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: 1-61 - [i9]Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu:
Pseudo-Label Training and Model Inertia in Neural Machine Translation. CoRR abs/2305.11808 (2023) - [i8]Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde:
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. CoRR abs/2305.17131 (2023) - 2022
- [c14]Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. EMNLP 2022: 4287-4299 - [c13]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: 98-157 - [c12]Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu:
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. NAACL-HLT (Findings) 2022: 616-632 - [i7]Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu:
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. CoRR abs/2205.04022 (2022) - [i6]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 abs/2207.05851 (2022) - [i5]Suvodeep Majumder, Stanislas Lauly, Maria Nadejde, Marcello Federico, Georgiana Dinu:
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation. CoRR abs/2210.10906 (2022) - [i4]Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. CoRR abs/2211.01355 (2022) - 2020
- [i3]Maria Nadejde, Joel R. Tetreault:
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1. CoRR abs/2006.02964 (2020)
2010 – 2019
- 2019
- [j1]Courtney Napoles, Maria Nadejde, Joel R. Tetreault:
Enabling Robust Grammatical Error Correction in New Domains: Datasets, Metrics, and Analyses. Trans. Assoc. Comput. Linguistics 7: 551-566 (2019) - [c11]Maria Nadejde, Joel R. Tetreault:
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1. W-NUT@EMNLP 2019: 27-33 - 2017
- [c10]Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nadejde:
Nematus: a Toolkit for Neural Machine Translation. EACL (Software Demonstrations) 2017: 65-68 - [c9]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Predicting Target Language CCG Supertags Improves Neural Machine Translation. WMT 2017: 68-79 - [i2]Maria Nadejde, Siva Reddy, Rico Sennrich, Tomasz Dwojak, Marcin Junczys-Dowmunt, Philipp Koehn, Alexandra Birch:
Syntax-aware Neural Machine Translation Using CCG. CoRR abs/1702.01147 (2017) - [i1]Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, Maria Nadejde:
Nematus: a Toolkit for Neural Machine Translation. CoRR abs/1703.04357 (2017) - 2016
- [c8]Maria Nadejde, Alexandra Birch, Philipp Koehn:
A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation. IWSLT 2016 - [c7]Maria Nadejde, Alexandra Birch, Philipp Koehn:
Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation. WMT 2016: 32-42 - [c6]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Barry Haddow, Ondrej Bojar:
Edinburgh's Statistical Machine Translation Systems for WMT16. WMT 2016: 399-410 - 2015
- [c5]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Philipp Koehn:
Edinburgh's Syntax-Based Systems at WMT 2015. WMT@EMNLP 2015: 199-209 - 2014
- [c4]Markus Freitag, Stephan Peitz, Joern Wuebker, Hermann Ney, Matthias Huck, Rico Sennrich, Nadir Durrani, Maria Nadejde, Philip Williams, Philipp Koehn, Teresa Herrmann, Eunah Cho, Alex Waibel:
EU-BRIDGE MT: Combined Machine Translation. WMT@ACL 2014: 105-113 - [c3]Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn:
Edinburgh's Syntax-Based Systems at WMT 2014. WMT@ACL 2014: 207-214 - 2013
- [c2]Alexandra Birch, Barry Haddow, Ulrich Germann, Maria Nadejde, Christian Buck, Philipp Koehn:
The Feasibility of HMEANT as a Human MT Evaluation Metric. WMT@ACL 2013: 52-61 - [c1]Maria Nadejde, Philip Williams, Philipp Koehn:
Edinburgh's Syntax-Based Machine Translation Systems. WMT@ACL 2013: 170-176
Coauthor Index
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