Metehan Oğuz, Cui Ding, Ethan Gotlieb Wilcox, Zuzanna Fuchs
{"title":"Using MoTR to Probe Agreement Processing in Russian.","authors":"Metehan Oğuz, Cui Ding, Ethan Gotlieb Wilcox, Zuzanna Fuchs","doi":"10.1162/OPMI.a.35","DOIUrl":null,"url":null,"abstract":"<p><p>One important distinction in the syntax literature is between agreement that is <i>external</i> to the nominal phrase and agreement that is <i>internal</i> to it (sometimes called <i>concord</i>). How this type of agreement impacts sentence processing, however, is not well understood. In this paper, we ask whether agreement errors are processed differently based on their internal vs. external status. We investigate this question in Russian, a Slavic language that has a rich morphological agreement system and flexible word order, allowing us to control for several confounds. Our results are not fully conclusive but do provide moderate evidence that processing of agreement is modulated by internal vs. external status. We measure real-time language processing using Mouse Tracking for Reading (MoTR), a new web-deployable measurement tool that has been argued to improve over previous methods (e.g., self-paced reading) but has so far been tested only in English, and never for agreement processing phenomena. We find that MoTR can successfully pick up differences in our factorized psycholinguistic experiment in Russian, validating MoTR as a reliable tool for investigating agreement (error) processing. A direct comparison with existing data collected using in-lab eye-tracking-while-reading with similar experimental materials (Fuchs et al., 2025) suggests MoTR data yields larger effect sizes than does eye-tracking data.</p>","PeriodicalId":32558,"journal":{"name":"Open Mind","volume":"9 ","pages":"1682-1710"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12571046/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Mind","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1162/OPMI.a.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
One important distinction in the syntax literature is between agreement that is external to the nominal phrase and agreement that is internal to it (sometimes called concord). How this type of agreement impacts sentence processing, however, is not well understood. In this paper, we ask whether agreement errors are processed differently based on their internal vs. external status. We investigate this question in Russian, a Slavic language that has a rich morphological agreement system and flexible word order, allowing us to control for several confounds. Our results are not fully conclusive but do provide moderate evidence that processing of agreement is modulated by internal vs. external status. We measure real-time language processing using Mouse Tracking for Reading (MoTR), a new web-deployable measurement tool that has been argued to improve over previous methods (e.g., self-paced reading) but has so far been tested only in English, and never for agreement processing phenomena. We find that MoTR can successfully pick up differences in our factorized psycholinguistic experiment in Russian, validating MoTR as a reliable tool for investigating agreement (error) processing. A direct comparison with existing data collected using in-lab eye-tracking-while-reading with similar experimental materials (Fuchs et al., 2025) suggests MoTR data yields larger effect sizes than does eye-tracking data.
语法文献中一个重要的区别是名词性短语外部的一致性和内部的一致性(有时称为和谐)。然而,这种类型的一致是如何影响句子加工的,目前还不清楚。在本文中,我们将探讨协议错误是否会根据其内部和外部状态而被不同地处理。我们在俄语中研究了这个问题,俄语是一种斯拉夫语言,它有丰富的形态一致系统和灵活的词序,允许我们控制几个混淆。我们的结果并不是完全结论性的,但确实提供了适度的证据,证明协议的处理是由内部和外部状态调节的。我们使用鼠标跟踪阅读(MoTR)来测量实时语言处理,这是一种新的网络部署测量工具,被认为比以前的方法(例如,自定节奏阅读)有所改进,但迄今为止只在英语中进行了测试,从未用于协议处理现象。我们发现,在我们的俄语分解心理语言学实验中,mor可以成功地拾取差异,验证了mor作为研究一致(错误)加工的可靠工具。直接比较现有的使用实验室眼动追踪在阅读中收集的数据和类似的实验材料(Fuchs et al., 2025)表明MoTR数据比眼动追踪数据产生更大的效应量。