CLDec 16, 2024

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

arXiv:2412.11732v127 citationsh-index: 26WMT
Originality Synthesis-oriented
AI Analysis

This provides a benchmark for discourse-level literary translation, but it is incremental as it continues from last year's task with two new language directions added.

The WMT 2024 shared task tackled discourse-level literary translation across Chinese-English, Chinese-German, and Chinese-Russian language directions, evaluating 10 submissions from 5 teams using automatic and human evaluations, with official rankings based on human judgments.

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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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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