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Markus Freitag
Markus Freitag
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Zitiert von
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Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
14432023
Beam search strategies for neural machine translation
M Freitag, Y Al-Onaizan
arXiv preprint arXiv:1702.01806, 2017
4542017
Experts, errors, and context: A large-scale study of human evaluation for machine translation
M Freitag, G Foster, D Grangier, V Ratnakar, Q Tan, W Macherey
Transactions of the Association for Computational Linguistics 9, 1460-1474, 2021
3492021
Language models are multilingual chain-of-thought reasoners
F Shi, M Suzgun, M Freitag, X Wang, S Srivats, S Vosoughi, HW Chung, ...
arXiv preprint arXiv:2210.03057, 2022
2292022
Fast domain adaptation for neural machine translation
M Freitag, Y Al-Onaizan
arXiv preprint arXiv:1612.06897, 2016
2042016
Results of WMT22 metrics shared task: Stop using BLEU–neural metrics are better and more robust
M Freitag, R Rei, N Mathur, C Lo, C Stewart, E Avramidis, T Kocmi, ...
Proceedings of the Seventh Conference on Machine Translation (WMT), 46-68, 2022
1912022
Findings of the 2021 conference on machine translation (WMT21)
F Akhbardeh, A Arkhangorodsky, M Biesialska, O Bojar, R Chatterjee, ...
Proceedings of the sixth conference on machine translation, 1-88, 2021
1912021
Results of the WMT21 metrics shared task: Evaluating metrics with expert-based human evaluations on TED and news domain
M Freitag, R Rei, N Mathur, C Lo, C Stewart, G Foster, A Lavie, O Bojar
Proceedings of the Sixth Conference on Machine Translation, 733-774, 2021
1702021
Results of the WMT20 metrics shared task
N Mathur, J Wei, M Freitag, Q Ma, O Bojar
Proceedings of the Fifth Conference on Machine Translation, 688-725, 2020
1522020
BLEU might be guilty but references are not innocent
M Freitag, D Grangier, I Caswell
arXiv preprint arXiv:2004.06063, 2020
1442020
Prompting palm for translation: Assessing strategies and performance
D Vilar, M Freitag, C Cherry, J Luo, V Ratnakar, G Foster
arXiv preprint arXiv:2211.09102, 2022
1382022
Ensemble distillation for neural machine translation
M Freitag, Y Al-Onaizan, B Sankaran
arXiv preprint arXiv:1702.01802, 2017
1142017
Results of the WMT15 metrics shared task
M Stanojević, A Kamran, P Koehn, O Bojar
Proceedings of the Tenth Workshop on Statistical Machine Translation, 256-273, 2015
1122015
Modeling punctuation prediction as machine translation
S Peitz, M Freitag, A Mauser, H Ney
Proceedings of the 8th International Workshop on Spoken Language Translation …, 2011
992011
Scaling laws for neural machine translation
B Ghorbani, O Firat, M Freitag, A Bapna, M Krikun, X Garcia, C Chelba, ...
arXiv preprint arXiv:2109.07740, 2021
862021
Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
WMT23-Eighth Conference on Machine Translation, 198--216, 2023
792023
INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback
W Xu, D Wang, L Pan, Z Song, M Freitag, WY Wang, L Li
arXiv preprint arXiv:2305.14282, 2023
792023
High quality rather than high model probability: Minimum Bayes risk decoding with neural metrics
M Freitag, D Grangier, Q Tan, B Liang
Transactions of the Association for Computational Linguistics 10, 811-825, 2022
76*2022
APE at scale and its implications on MT evaluation biases
M Freitag, I Caswell, S Roy
arXiv preprint arXiv:1904.04790, 2019
732019
The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation
P Fernandes, D Deutsch, M Finkelstein, P Riley, AFT Martins, G Neubig, ...
arXiv preprint arXiv:2308.07286, 2023
572023
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