Verb bias-the co-occurrence frequencies between a verb and the syntactic structures it may appear with-is a critical and reliable linguistic cue for online sentence processing. In particular, listeners use this information to disambiguate sentences with multiple potential syntactic parses (e.g., Feel the frog with the feather.). Further, listeners dynamically update their representations of specific verbs in the face of new evidence about verb-structure co-occurrence. Yet, little is known about the biological memory systems that support the use and dynamic updating of verb bias. We propose that hippocampal-dependent declarative (relational) memory represents a likely candidate system because it has been implicated in the flexible binding of relational co-occurrences and in statistical learning. We explore this question by testing patients with severe and selective deficits in declarative memory (anterograde amnesia), and demographically matched healthy participants, in their on-line interpretation of ambiguous sentences and the ability to update their verb bias with experience. We find that (1) patients and their healthy counterparts use existing verb bias to successfully interpret on-line ambiguity, however (2) unlike healthy young adults, neither group updated these biases in response to recent exposure. These findings demonstrate that using existing representations of verb bias does not necessitate involvement of the declarative memory system, but leave open the question of whether the ability to update representations of verb-specific biases requires hippocampal engagement.
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http://dx.doi.org/10.1016/j.bandl.2018.04.003 | DOI Listing |
Neurosci Lett
November 2024
Department of Linguistics, University of Kansas, United States.
This study compares the processing of cleft structures against that of monoclausal sentences using event-related potential (ERP). We aim to understand how syntactic complexity is processed by comparing the neural response to cleft and single-clause sentences with identical verb phrases, controlling for verb bias frequency effects. Sixty participants were tested, and we presented 100 cleft and 100 monoclausal sentences, balanced for active and passive verb usage.
View Article and Find Full Text PDFMem Cognit
September 2024
Center for Language and Brain, HSE University, Moscow, Russia.
The present study tests the hypothesis that the directionality of reading habits (left-to-right or right-to-left) impacts individuals' representation of nonspatial events. Using the blank screen paradigm, we examine whether eye movements reflect culture-specific spatial biases in processing temporal information, specifically, grammatical tense in Russian and Hebrew. Sixty-two native speakers of Russian (a language with a left-to-right reading and writing system) and 62 native speakers of Hebrew (a language with a right-to-left reading and writing system) listened to verbs in the past or future tense while their spontaneous gaze positions were recorded.
View Article and Find Full Text PDFmedRxiv
April 2024
Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School.
Clin Linguist Phon
October 2024
Support Center for Special Needs Education and Clinical Practice on Education, Tokyo Gakugei University, Tokyo, Japan.
This study aimed to identify the comprehension strategies employed for active, passive, and causative sentences and the involvement of phonological memory, which is a subsystem of working memory, in the comprehension skills of Japanese-speaking children with intellectual disability (ID) compared to those with typical development (TD). The participants were 29 children with ID and 18 children with TD who were matched according to mental and vocabulary ages and phonological memory scores. A picture selection method was employed as a sentence comprehension task.
View Article and Find Full Text PDFIEEE Trans Image Process
December 2023
Recognizing actions performed on unseen objects, known as Compositional Action Recognition (CAR), has attracted increasing attention in recent years. The main challenge is to overcome the distribution shift of "action-objects" pairs between the training and testing sets. Previous works for CAR usually introduce extra information (e.
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