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| Format: | Preprint |
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2024
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| Online-Zugang: | https://arxiv.org/abs/2412.11732 |
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| _version_ | 1866913614061895680 |
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| author | Wang, Longyue Liu, Siyou Lyu, Chenyang Jiao, Wenxiang Wang, Xing Xu, Jiahao Tu, Zhaopeng Gu, Yan Chen, Weiyu Wu, Minghao Zhou, Liting Koehn, Philipp Way, Andy Yuan, Yulin |
| author_facet | Wang, Longyue Liu, Siyou Lyu, Chenyang Jiao, Wenxiang Wang, Xing Xu, Jiahao Tu, Zhaopeng Gu, Yan Chen, Weiyu Wu, Minghao Zhou, Liting Koehn, Philipp Way, Andy Yuan, Yulin |
| contents | Following last year, we have continued to host the WMT translation shared task this year, the second edition of the Discourse-Level Literary Translation. We focus on three language directions: Chinese-English, Chinese-German, and Chinese-Russian, with the latter two ones newly added. This year, we totally received 10 submissions from 5 academia and industry teams. We employ both automatic and human evaluations to measure the performance of the submitted systems. The official ranking of the systems is based on the overall human judgments. We release data, system outputs, and leaderboard at https://www2.statmt.org/wmt24/literary-translation-task.html. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_11732 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation Wang, Longyue Liu, Siyou Lyu, Chenyang Jiao, Wenxiang Wang, Xing Xu, Jiahao Tu, Zhaopeng Gu, Yan Chen, Weiyu Wu, Minghao Zhou, Liting Koehn, Philipp Way, Andy Yuan, Yulin Computation and Language Following last year, we have continued to host the WMT translation shared task this year, the second edition of the Discourse-Level Literary Translation. We focus on three language directions: Chinese-English, Chinese-German, and Chinese-Russian, with the latter two ones newly added. This year, we totally received 10 submissions from 5 academia and industry teams. We employ both automatic and human evaluations to measure the performance of the submitted systems. The official ranking of the systems is based on the overall human judgments. We release data, system outputs, and leaderboard at https://www2.statmt.org/wmt24/literary-translation-task.html. |
| title | Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2412.11732 |