Bao Yaqian Borogjoon, Li Xingshan, Kuperman Victor
McMaster University, Hamilton, Canada.
Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Sci Data. 2025 Mar 25;12(1):499. doi: 10.1038/s41597-025-04771-w.
This paper introduces an eye-tracking corpus of passage reading data in the vertical writing system of traditional Mongolian. This corpus extends the Multilingual Eye Movement Corpus (MECO) database and includes data from 66 native readers of traditional Mongolian script reading 12 texts comprising 99 sentences and 2,592 words. This traditional Mongolian MECO corpus aims to address the research gap in reading studies on understudied languages. As one of the very few actively used vertical writing systems, these data offer unique insights into the cognitive and visual processing demands of vertical reading. The paper provides reliability estimates for the data and reports lexical benchmark effects of word frequency and length. Additionally, the corpus provides a valuable opportunity for cross-linguistic comparisons of eye movement data, especially with horizontal writing systems, contributing to a better understanding of how reading direction influences cognitive processing.
本文介绍了一个关于传统蒙古文竖写系统中篇章阅读数据的眼动追踪语料库。该语料库扩展了多语言眼动语料库（MECO）数据库，包含66名传统蒙古文母语读者阅读12篇文本的数据，这些文本由99个句子和2592个单词组成。这个传统蒙古文MECO语料库旨在填补对研究较少语言的阅读研究中的空白。作为极少数仍在积极使用的竖写系统之一，这些数据为竖排阅读的认知和视觉处理需求提供了独特的见解。本文提供了数据的可靠性估计，并报告了词频和长度的词汇基准效应。此外，该语料库为眼动数据的跨语言比较，特别是与横写系统的比较，提供了宝贵的机会，有助于更好地理解阅读方向如何影响认知处理。
