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Maria Nadejde
Maria Nadejde
Amazon AWS AI
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Cited by
Cited by
Year
Nematus: a toolkit for neural machine translation
R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ...
arXiv preprint arXiv:1703.04357, 2017
4532017
Findings of the IWSLT 2022 Evaluation Campaign.
A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
1062022
Predicting Target Language CCG Supertags Improves Neural Machine Translation
M Nadejde, S Reddy, R Sennrich, T Dwojak, M Junczys-Dowmunt, ...
Second Conference on Machine Translation 1, 68--79, 2017
100*2017
Findings of the iwslt 2023 evaluation campaign
M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ...
Association for Computational Linguistics, 2023
472023
Enabling Robust Grammatical Error Correction in New Domains: Datasets, Metrics, and Analyses
C Napoles, M Nadejde, J Tetreault
Transactions of the Association for Computational Linguistics 7, 551-566, 2019
372019
Edinburgh’s syntax-based systems at wmt 2015
P Williams, R Sennrich, M Nǎdejde, M Huck, P Koehn
Proceedings of the Tenth Workshop on Statistical Machine Translation, 199-209, 2015
372015
Edinburgh’s Statistical Machine Translation Systems for WMT16
P Williams, R Sennrich, M Nadejde, M Huck, B Haddow, O Bojar
Proceedings of the First Conference on Machine Translation, Berlin, Germany …, 2016
322016
MT-GenEval: A counterfactual and contextual dataset for evaluating gender accuracy in machine translation
A Currey, M Nădejde, R Pappagari, M Mayer, S Lauly, X Niu, B Hsu, ...
EMNLP 2022, 2022
272022
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1
M Nadejde, J Tetreault
The 5th Workshop on Noisy User-generated Text (W-NUT), 2019
242019
The feasibility of HMEANT as a human MT evaluation metric
A Birch, B Haddow, U Germann, M Nǎdejde, C Buck, P Koehn
Proceedings of the Eighth Workshop on Statistical Machine Translation, 52-61, 2013
192013
Edinburgh’s syntax-based machine translation systems
M Nǎdejde, P Williams, P Koehn
Proceedings of the Eighth Workshop on Statistical Machine Translation, 170-176, 2013
182013
CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality
M Nădejde, A Currey, B Hsu, X Niu, M Federico, G Dinu
NAACL, 2022
172022
Eu-bridge mt: Combined machine translation
M Freitag, S Peitz, J Wuebker, H Ney, M Huck, R Sennrich, N Durrani, ...
Proceedings of the Ninth Workshop on Statistical Machine Translation, 105-113, 2014
162014
Sockeye 3: Fast neural machine translation with pytorch
F Hieber, M Denkowski, T Domhan, BD Barros, CD Ye, X Niu, C Hoang, ...
arXiv preprint arXiv:2207.05851, 2022
152022
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
S Majumder, S Lauly, M Nadejde, M Federico, G Dinu
arXiv preprint arXiv:2210.10906, 2022
132022
Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation
M Nadejde, A Birch, P Koehn
Proceedings of the First Conference on Machine Translation, 32--42, 2016
82016
RAMP: Retrieval and attribute-marking enhanced prompting for attribute-controlled translation
G Sarti, PM Htut, X Niu, B Hsu, A Currey, G Dinu, M Nadejde
ACL 2023, 2023
52023
M3T: A new benchmark dataset for multi-modal document-level machine translation
B Hsu, X Liu, H Li, Y Fujinuma, M Nadejde, X Niu, Y Kittenplon, R Litman, ...
arXiv preprint arXiv:2406.08255, 2024
22024
A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation
M Nadejde, A Birch, P Koehn
Proceedings of the International Workshop on Spoken Language Translation (IWSLT), 2016
22016
Syntactic and semantic features for statistical and neural machine translation
M Nadejde
The University of Edinburgh, 2018
12018
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Articles 1–20