Work

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

Year: 2024

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2412.11732

Authors: 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

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4405470329

Cites:

Cited by: 1

Related to: 10