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。本年度赛道的主要任务是：使用英文查询，对中文、波斯语或俄语新闻专线文档进行自动检索排序。主题采用标准TREC流程开发，但存在关键差异：由标注者为某种语言开发的主题，在跨语言评估时需由不同的标注者进行评判。十二支队伍共提交了172次系统运行结果。