| Download | - View final version: Results of the WMT21 metrics shared task: evaluating metrics with expert-based human evaluations on TED and news domain (PDF, 750 KiB)
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| Author | Search for: Freitag, Markus; Search for: Rei, Ricardo; Search for: Mathur, Nitika; Search for: Lo, Chi-Kiu1; Search for: Stewart, Craig; Search for: Foster, George; Search for: Lavie, Alon; Search for: Bojar, Ondřej |
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| Affiliation | - National Research Council Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | 6th Conference on Machine Translation, WMT 2021, November 10-11, 2021, Virtual, Online |
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| Physical description | 42 p. |
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| Abstract | This paper presents the results of the WMT21 Metrics Shared Task. Participants were asked to score the outputs of the translation systems competing in the WMT21 News Translation Task with automatic metrics on two different domains: news and TED talks. All metrics were evaluated on how well they correlate at the system- and segment-level with human ratings. Contrary to previous years' editions, this year we acquired our own human ratings based on expert-based human evaluation via Multidimensional Quality Metrics (MQM). This setup had several advantages: (i) expert-based evaluation has been shown to be more reliable, (ii) we were able to evaluate all metrics on two different domains using translations of the same MT systems, (iii) we added 5 additional translations coming from the same system during system development. In addition, we designed three challenge sets that evaluate the robustness of all automatic metrics. We present an extensive analysis on how well metrics perform on three language pairs: English→German, English→Russian and Chinese→English. We further show the impact of different reference translations on reference-based metrics and compare our expert-based MQM annotation with the DA scores acquired by WMT. |
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| Publication date | 2021-11-10 |
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| Publisher | Association for Computational Linguistics |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | eb1c6d14-8147-4fdc-9e1f-d9c0d3d0150b |
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| Record created | 2022-07-14 |
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| Record modified | 2022-07-14 |
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