Related papers: Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation

Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation

URL: http://arxiv.org/abs/2412.11732v1
Date: Mon, 16 Dec 2024 12:54:52 GMT
Title: Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
Authors: Longyue Wang, Siyou Liu, Chenyang Lyu, Wenxiang Jiao, Xing Wang, Jiahao Xu, Zhaopeng Tu, Yan Gu, Weiyu Chen, Minghao Wu, Liting Zhou, Philipp Koehn, Andy Way, Yulin Yuan,
Abstract summary: We focus on three language directions: Chinese-English, Chinese-German, and Chinese-Russian. This year, we totally received 10 submissions from 5 academia and industry teams. The official ranking of the systems is based on the overall human judgments.
Score: 75.03292732779059
License:
Abstract: 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.

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