{"title":"Informativity enhances memory robustness against interference in sentence comprehension","authors":"Weijie Xu, Richard Futrell","doi":"10.1016/j.jml.2024.104603","DOIUrl":null,"url":null,"abstract":"<div><div>Language comprehension has been argued to be expectation-based, with more predictable linguistic units being easier to process. However, as a communicative tool, language is often used to deliver messages that are novel and informative, suggesting the necessity of some cognitive mechanisms handling less predictable but more informative content. This paper proposes strategic memory allocation as one such mechanism. Although less predictable linguistic units require greater processing effort for memory encoding, recognizing the inconsistency between top-down predictions and bottom-up perceptual input may signal the working memory system to prioritize these units, enhancing the robustness of their representation against interference. We examine this hypothesis through the lens of the agreement attraction effect in two self-paced reading experiments. In Experiment 1, we find that less predictable but more informative target nouns exhibit weaker agreement attraction in online reading times, especially with more fine-grained measures of predictability such as the surprisal from large language models. This weaker agreement attraction effect for less predictable target nouns confirms our hypothesis that informative linguistic units are prioritized and receive more robust memory representation. In Experiment 2, however, no modulation of agreement attraction emerges when we manipulate the predictability of distractor nouns, suggesting the need for a more nuanced characterization of how information is structured and operated in memory. Our findings highlight an interplay of memory, predictive processing, and implicit learning. We also discuss the implications of our result for memory efficiency and memory compression. More broadly, by demonstrating that the limited memory resources are dynamically optimized for the relevant processing task, the current study highlights a connection to the resource-rational analysis of human cognition in general.</div></div>","PeriodicalId":16493,"journal":{"name":"Journal of memory and language","volume":"142 ","pages":"Article 104603"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of memory and language","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0749596X24001062","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Language comprehension has been argued to be expectation-based, with more predictable linguistic units being easier to process. However, as a communicative tool, language is often used to deliver messages that are novel and informative, suggesting the necessity of some cognitive mechanisms handling less predictable but more informative content. This paper proposes strategic memory allocation as one such mechanism. Although less predictable linguistic units require greater processing effort for memory encoding, recognizing the inconsistency between top-down predictions and bottom-up perceptual input may signal the working memory system to prioritize these units, enhancing the robustness of their representation against interference. We examine this hypothesis through the lens of the agreement attraction effect in two self-paced reading experiments. In Experiment 1, we find that less predictable but more informative target nouns exhibit weaker agreement attraction in online reading times, especially with more fine-grained measures of predictability such as the surprisal from large language models. This weaker agreement attraction effect for less predictable target nouns confirms our hypothesis that informative linguistic units are prioritized and receive more robust memory representation. In Experiment 2, however, no modulation of agreement attraction emerges when we manipulate the predictability of distractor nouns, suggesting the need for a more nuanced characterization of how information is structured and operated in memory. Our findings highlight an interplay of memory, predictive processing, and implicit learning. We also discuss the implications of our result for memory efficiency and memory compression. More broadly, by demonstrating that the limited memory resources are dynamically optimized for the relevant processing task, the current study highlights a connection to the resource-rational analysis of human cognition in general.
期刊介绍:
Articles in the Journal of Memory and Language contribute to the formulation of scientific issues and theories in the areas of memory, language comprehension and production, and cognitive processes. Special emphasis is given to research articles that provide new theoretical insights based on a carefully laid empirical foundation. The journal generally favors articles that provide multiple experiments. In addition, significant theoretical papers without new experimental findings may be published.
The Journal of Memory and Language is a valuable tool for cognitive scientists, including psychologists, linguists, and others interested in memory and learning, language, reading, and speech.
Research Areas include:
• Topics that illuminate aspects of memory or language processing
• Linguistics
• Neuropsychology.