Mariya Shmatova


2023

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Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet
Tom Kocmi | Eleftherios Avramidis | Rachel Bawden | Ondřej Bojar | Anton Dvorkovich | Christian Federmann | Mark Fishel | Markus Freitag | Thamme Gowda | Roman Grundkiewicz | Barry Haddow | Philipp Koehn | Benjamin Marie | Christof Monz | Makoto Morishita | Kenton Murray | Makoto Nagata | Toshiaki Nakazawa | Martin Popel | Maja Popović | Mariya Shmatova
Proceedings of the Eighth Conference on Machine Translation

This paper presents the results of the General Machine Translation Task organised as part of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 8 language pairs (corresponding to 14 translation directions), to be evaluated on test sets consisting of up to four different domains. We evaluate system outputs with professional human annotators using a combination of source-based Direct Assessment and scalar quality metric (DA+SQM).

2016

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YSDA Participation in the WMT’16 Quality Estimation Shared Task
Anna Kozlova | Mariya Shmatova | Anton Frolov
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

2014

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Measuring the Impact of Spelling Errors on the Quality of Machine Translation
Irina Galinskaya | Valentin Gusev | Elena Mescheryakova | Mariya Shmatova
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we show how different types of spelling errors influence the quality of machine translation. We also propose a method to evaluate the impact of spelling errors correction on translation quality without expensive manual work of providing reference translations.