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of 4
pro vyhledávání: '"Shmatova, Mariya"'
Autor:
Kocmi, Tom, Avramidis, Eleftherios, Bawden, Rachel, Bojar, Ondrej, Dvorkovich, Anton, Federmann, Christian, Fishel, Mark, Freitag, Markus, Gowda, Thamme, Grundkiewicz, Roman, Haddow, Barry, Karpinska, Marzena, Koehn, Philipp, Marie, Benjamin, Murray, Kenton, Nagata, Masaaki, Popel, Martin, Popovic, Maja, Shmatova, Mariya, Steingrímsson, Steinþór, Zouhar, Vilém
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking and supersedes it. The purpose of this report is not to interpret any
Externí odkaz:
http://arxiv.org/abs/2407.19884
Autor:
Kocmi, Tom, Zouhar, Vilém, Avramidis, Eleftherios, Grundkiewicz, Roman, Karpinska, Marzena, Popović, Maja, Sachan, Mrinmaya, Shmatova, Mariya
High-quality Machine Translation (MT) evaluation relies heavily on human judgments. Comprehensive error classification methods, such as Multidimensional Quality Metrics (MQM), are expensive as they are time-consuming and can only be done by experts,
Externí odkaz:
http://arxiv.org/abs/2406.11580
Autor:
Malinin, Andrey, Band, Neil, Ganshin, Alexander, Chesnokov, German, Gal, Yarin, Gales, Mark J. F., Noskov, Alexey, Ploskonosov, Andrey, Prokhorenkova, Liudmila, Provilkov, Ivan, Raina, Vatsal, Raina, Vyas, Roginskiy, Denis, Shmatova, Mariya, Tigas, Panos, Yangel, Boris
There has been significant research done on developing methods for improving robustness to distributional shift and uncertainty estimation. In contrast, only limited work has examined developing standard datasets and benchmarks for assessing these ap
Externí odkaz:
http://arxiv.org/abs/2107.07455
Autor:
Kocmi, Tom, Bawden, Rachel, Bojar, Ondřej, Dvorkovich, Anton, Federmann, Christian, Fishel, Mark, Gowda, Thamme, Graham, Yvette, Grundkiewicz, Roman, Haddow, Barry, Knowles, Rebecca, Koehn, Philipp, Monz, Christof, Morishita, Makoto, Nagata, Masaaki, Nakazawa, Toshiaki, Novák, Michal, Popel, Martin, Popović, Maja, Shmatova, Mariya
Publikováno v:
Proceedings of the Seventh Conference on Machine Translation (WMT)
WMT 2022-Seventh Conference on Machine Translation
WMT 2022-Seventh Conference on Machine Translation, Dec 2022, Abu Dhabi, United Arab Emirates
WMT 2022-Seventh Conference on Machine Translation
WMT 2022-Seventh Conference on Machine Translation, Dec 2022, Abu Dhabi, United Arab Emirates
International audience; This paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::da6c7aa3d9d80e9d0f7e1de5ecb92fa7
https://inria.hal.science/hal-03932367
https://inria.hal.science/hal-03932367