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Nitika Mathur
Nitika Mathur
Verified email at oracle.com
Title
Cited by
Cited by
Year
Tangled up in BLEU: Reevaluating the evaluation of automatic machine translation evaluation metrics
N Mathur, T Baldwin, T Cohn
arXiv preprint arXiv:2006.06264, 2020
2042020
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
1372021
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
1312020
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
1202022
Accurate evaluation of segment-level machine translation metrics
Y Graham, T Baldwin, N Mathur
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
1162015
Putting evaluation in context: Contextual embeddings improve machine translation evaluation
N Mathur, T Baldwin, T Cohn
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
752019
Randomized significance tests in machine translation
Y Graham, N Mathur, T Baldwin
Proceedings of the Ninth Workshop on Statistical Machine Translation, 266-274, 2014
482014
The impact of multiword expression compositionality on machine translation evaluation
B Salehi, N Mathur, P Cook, T Baldwin
Proceedings of the 11th Workshop on Multiword Expressions, 54-59, 2015
172015
Chikiu Lo, Craig Stewart, Eleftherios Avramidis, Tom Kocmi, George Foster, Alon Lavie, and André FT Martins. 2022. Results of WMT22 metrics shared task: Stop using BLEU–neural …
M Freitag, R Rei, N Mathur
Proceedings of the Seventh Conference on Machine Translation (WMT), 46-68, 0
15
Results of WMT23 metrics shared task: Metrics might be guilty but references are not innocent
M Freitag, N Mathur, C Lo, E Avramidis, R Rei, B Thompson, T Kocmi, ...
Proceedings of the Eighth Conference on Machine Translation, 578-628, 2023
102023
Sequence effects in crowdsourced annotations
N Mathur, T Baldwin, T Cohn
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
92017
Towards efficient machine translation evaluation by modelling annotators
N Mathur, T Baldwin, T Cohn
Proceedings of the Australasian Language Technology Association Workshop …, 2018
32018
Robustness in Machine Translation Evaluation.
N Mathur
University of Melbourne, Parkville, Victoria, Australia, 2021
12021
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