This is the first year of the TREC Neural CLIR (NeuCLIR) track, which aims to study the impact of neural approaches to cross-language information retrieval. The main task in this year's track was ad hoc ranked retrieval of Chinese, Persian, or Russian newswire documents using queries expressed in English. Topics were developed using standard TREC processes, except that topics developed by an annotator for one language were assessed by a different annotator when evaluating that topic on a different language. There were 172 total runs submitted by twelve teams.

翻译：这是TREC神经跨语言信息检索（NeuCLIR）赛道的首年运行，旨在研究神经方法对跨语言信息检索的影响。本年度赛道的核心任务是基于英文查询，对中文、波斯语或俄语新闻专线文档进行即席排序检索。主题采用标准TREC流程开发，但同一主题由标注员针对一种语言开发后，需由不同标注员在对该主题进行跨语言评估时完成标注。共有12支团队提交了总计172次系统运行结果。