arXiv cs.CL· Vipasha Bansal, William D. Lewis, Nicole Mihaylova, Elizabeth Brown, Benjamin Pong·· 12 小时前AI 评分31
机器翻译准备好应对下一场危机或大流行病了吗？五大商用系统在 TICO-19 上的低资源语言评测
Is MT Ready for the Next Crisis or Pandemic?
AI 导读
研究用 TICO-19 疫情相关句库评测了 Google Translate、Microsoft Translator、GPT、Gemini 和 Claude 五款商用机器翻译系统，重点考察低资源语言在危机与医疗领域的翻译可用性。评估以输出译文的可用性为依据，判断当前系统对下一场大流行病的“准备程度”。
正文 · 原文
Abstract:Communication in times of crisis is essential. However, there is often a mismatch between the language of governments, aid providers, doctors, and those to whom they are providing aid. It is reasonable to turn to commercial MT tools in these scenarios. But how effective are these tools for translating to and from low resource languages, particularly in the crisis or medical domain? In this study, we evaluate 5 commercial systems used for MT (Google Translate, Microsoft Translator, GPT, Gemini and Claude) against the TICO-19 dataset, which contains pandemic-related sentences from a large set of high-priority languages spoken by communities most likely to be adversely affected in the next pandemic. We assess the current degree of "readiness" for this next pandemic based on the usability of the output translations.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2601.10082 [cs.CL] |
| (or arXiv:2601.10082v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2601.10082 arXiv-issued DOI via DataCite |
Submission history
From: Benjamin Pong [view email]
[v1]
Thu, 15 Jan 2026 05:14:59 UTC (898 KB)
[v2]
Fri, 16 Oct 2026 03:19:52 UTC (1,386 KB)
来源：arXiv cs.CL · arxiv.org