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

Autor:	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
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: WMT2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.11732 Zobrazit plný text záznamu View this record from Arxiv