Successful language comprehension often involves coping with lexical and syntactic ambiguity, and sometimes, recovering from misanalysis of the input. Syntactic ambiguity resolution has been shown throughout the literature to result in increases reaction time compared to unambiguous sentences, a fact which has shaped debates about architectures and mechanisms in sentence processing. However, increased reaction time can be caused either by a decrease in true processing speed, or by a decrease in the quality or quantity of information needed to reach criterion when making a response. Thus, increased reaction time to syntactic ambiguity could reflect differences in representational quality or multiple reanalysis attempts, or both. Current cue-based accounts of sentence processing predict that cues at the point where misanalysis becomes apparent (e.g., onset of second verb) may aid in reanalysis (e.g., retrieval of the correct subject). We used the speed-accuracy tradeoff procedure (SAT) to orthogonally derive estimates of processing speed and accuracy. We manipulated ambiguity and the semantic similarity between a disambiguating verb and the nouns already present in the sentence. Estimates of processing speed (SAT rate) indicated that, on average, ambiguous conditions took 250ms longer to interpret than unambiguous controls, demonstrating that reanalysis does increase veridical processing time. No interaction between cue diagnosticity and ambiguity was observed on speed or accuracy, but verbs more strongly related to the correct subject increased accuracy, regardless of ambiguity. These findings are consistent with a language processing architecture where cue-driven retrieval operations give rise to interpretation, and wherein diagnostic cues aid retrieval, regardless of parsing difficulty or structural uncertainty.
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http://dx.doi.org/10.1080/23273798.2018.1427877 | DOI Listing |
Cogn Sci
October 2024
School of Foreign Languages, Shanghai Jiao Tong University.
This article evaluates the predictions of an algorithmic-level distributed associative memory model as it introduces, propagates, and resolves ambiguity, and compares it to the predictions of computational-level parallel parsing models in which ambiguous analyses are accounted separately in discrete distributions. By superposing activation patterns that serve as cues to other activation patterns, the model is able to maintain multiple syntactically complex analyses superposed in a finite working memory, propagate this ambiguity through multiple intervening words, then resolve this ambiguity in a way that produces a measurable predictor that is proportional to the log conditional probability of the disambiguating word given its context, marginalizing over all remaining analyses. The results are indeed consistent in cases of complex structural ambiguity with computational-level parallel parsing models producing this same probability as a predictor, which have been shown reliably to predict human reading times.
View Article and Find Full Text PDFPLoS One
July 2024
College of Foreign Languages, Hunan University, Changsha, China.
Recent research suggests that syntactic priming in language comprehension-the facilitated processing of repeated syntactic structures-arises from the expectation for syntactic repetition due to rational adaptation to the linguistic environment. To further evaluate the generalizability of this expectation adaptation account in cross-linguistic syntactic priming and explore the influence of second language (L2) proficiency, we conducted a self-paced reading study with Chinese L2 learners of English by utilizing the sentential complement-direct object (SC-DO) ambiguity. The results showed that participants exposed to clusters of SC structures subsequently processed repetitions of this structure more rapidly (i.
View Article and Find Full Text PDFBrain Lang
July 2024
Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Huanghe Road 850, Dalian 116029, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, China. Electronic address:
Considerable work has investigated similarities between the processing of music and language, but it remains unclear whether typical, genuine music can influence speech processing via cross-domain priming. To investigate this, we measured ERPs to musical phrases and to syntactically ambiguous Chinese phrases that could be disambiguated by early or late prosodic boundaries. Musical primes also had either early or late prosodic boundaries and we asked participants to judge whether the prime and target have the same structure.
View Article and Find Full Text PDFGenes (Basel)
May 2024
Hellenic Air Force Academy, Dekelia Air Base, Acharnes, 13671 Athens, Greece.
Accurately predicting the pairing order of bases in RNA molecules is essential for anticipating RNA secondary structures. Consequently, this task holds significant importance in unveiling previously unknown biological processes. The urgent need to comprehend RNA structures has been accentuated by the unprecedented impact of the widespread COVID-19 pandemic.
View Article and Find Full Text PDFFront Health Serv
June 2024
SHARE-Centre for Resilience in Healthcare, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.
Introduction: Implementation and adoption of quality improvement interventions have proved difficult, even in situations where all participants recognise the relevance and benefits of the intervention. One way to describe difficulties in implementing new quality improvement interventions is to explore different types of knowledge boundaries, more specifically the syntactic, semantic and pragmatic boundaries, influencing the implementation process. As such, this study aims to identify and understand knowledge boundaries for implementation processes in nursing homes and homecare services.
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