30 found
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  1.  18
    An Activation‐Based Model of Sentence Processing as Skilled Memory Retrieval.Richard L. Lewis & Shravan Vasishth - 2005 - Cognitive Science 29 (3):375-419.
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  2.  39
    Computational Principles of Working Memory in Sentence Comprehension.Richard L. Lewis, Shravan Vasishth & Julie A. Van Dyke - 2006 - Trends in Cognitive Sciences 10 (10):447-454.
  3.  21
    Retrieval Interference in Reflexive Processing: Experimental Evidence From Mandarin, and Computational Modeling.Lena A. Jäger, Felix Engelmann & Shravan Vasishth - 2015 - Frontiers in Psychology 6.
  4.  10
    Processing Polarity: How the Ungrammatical Intrudes on the Grammatical.Shravan Vasishth, Sven Brüssow, Richard L. Lewis & Heiner Drenhaus - 2008 - Cognitive Science 32 (4):685-712.
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  5.  20
    Exploratory and Confirmatory Analyses in Sentence Processing: A Case Study of Number Interference in German.Bruno Nicenboim, Shravan Vasishth, Felix Engelmann & Katja Suckow - 2018 - Cognitive Science 42 (S4):1075-1100.
    Given the replication crisis in cognitive science, it is important to consider what researchers need to do in order to report results that are reliable. We consider three changes in current practice that have the potential to deliver more realistic and robust claims. First, the planned experiment should be divided into two stages, an exploratory stage and a confirmatory stage. This clear separation allows the researcher to check whether any results found in the exploratory stage are robust. The second change (...)
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  6.  11
    Retrieval Interference in Syntactic Processing: The Case of Reflexive Binding in English.Umesh Patil, Shravan Vasishth & Richard L. Lewis - 2016 - Frontiers in Psychology 7.
  7.  15
    Working Memory Differences in Long-Distance Dependency Resolution.Bruno Nicenboim, Shravan Vasishth, Carolina Gattei, Mariano Sigman & Reinhold Kliegl - 2015 - Frontiers in Psychology 6.
  8.  3
    The Effect of Prominence and Cue Association on Retrieval Processes: A Computational Account.Felix Engelmann, Lena A. Jӓger & Shravan Vasishth - 2019 - Cognitive Science 43 (12).
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  9.  3
    Computational Models of Retrieval Processes in Sentence Processing.Shravan Vasishth, Bruno Nicenboim, Felix Engelmann & Frank Burchert - 2019 - Trends in Cognitive Sciences 23 (11):968-982.
  10.  34
    Cross‐Linguistic Differences in Processing Double‐Embedded Relative Clauses: Working‐Memory Constraints or Language Statistics?Stefan L. Frank, Thijs Trompenaars & Shravan Vasishth - 2016 - Cognitive Science 40 (3):554-578.
    An English double-embedded relative clause from which the middle verb is omitted can often be processed more easily than its grammatical counterpart, a phenomenon known as the grammaticality illusion. This effect has been found to be reversed in German, suggesting that the illusion is language specific rather than a consequence of universal working memory constraints. We present results from three self-paced reading experiments which show that Dutch native speakers also do not show the grammaticality illusion in Dutch, whereas both German (...)
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  11.  15
    When High-Capacity Readers Slow Down and Low-Capacity Readers Speed Up: Working Memory and Locality Effects.Bruno Nicenboim, Pavel Logačev, Carolina Gattei & Shravan Vasishth - 2016 - Frontiers in Psychology 7.
  12.  22
    Distinctiveness and Encoding Effects in Online Sentence Comprehension.Philip Hofmeister & Shravan Vasishth - 2014 - Frontiers in Psychology 5.
  13.  7
    Teasing Apart Retrieval and Encoding Interference in the Processing of Anaphors.Lena A. Jäger, Lena Benz, Jens Roeser, Brian W. Dillon & Shravan Vasishth - 2015 - Frontiers in Psychology 6.
  14.  19
    A Multiple‐Channel Model of Task‐Dependent Ambiguity Resolution in Sentence Comprehension.Pavel Logačev & Shravan Vasishth - 2016 - Cognitive Science 40 (2):266-298.
    Traxler, Pickering, and Clifton found that ambiguous sentences are read faster than their unambiguous counterparts. This so-called ambiguity advantage has presented a major challenge to classical theories of human sentence comprehension because its most prominent explanation, in the form of the unrestricted race model, assumes that parsing is non-deterministic. Recently, Swets, Desmet, Clifton, and Ferreira have challenged the URM. They argue that readers strategically underspecify the representation of ambiguous sentences to save time, unless disambiguation is required by task demands. When (...)
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  15.  27
    A Computational Evaluation of Sentence Processing Deficits in Aphasia.Umesh Patil, Sandra Hanne, Frank Burchert, Ria De Bleser & Shravan Vasishth - 2016 - Cognitive Science 40 (1):5-50.
    Individuals with agrammatic Broca's aphasia experience difficulty when processing reversible non-canonical sentences. Different accounts have been proposed to explain this phenomenon. The Trace Deletion account attributes this deficit to an impairment in syntactic representations, whereas others propose that the underlying structural representations are unimpaired, but sentence comprehension is affected by processing deficits, such as slow lexical activation, reduction in memory resources, slowed processing and/or intermittent deficiency, among others. We test the claims of two processing accounts, slowed processing and intermittent deficiency, (...)
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  16.  15
    A Computational Investigation of Sources of Variability in Sentence Comprehension Difficulty in Aphasia.Paul Mätzig, Shravan Vasishth, Felix Engelmann, David Caplan & Frank Burchert - 2018 - Topics in Cognitive Science 10 (1):161-174.
    We present a computational evaluation of three hypotheses about sources of deficit in sentence comprehension in aphasia: slowed processing, intermittent deficiency, and resource reduction. The ACT-R based Lewis and Vasishth model is used to implement these three proposals. Slowed processing is implemented as slowed execution time of parse steps; intermittent deficiency as increased random noise in activation of elements in memory; and resource reduction as reduced spreading activation. As data, we considered subject vs. object relative sentences, presented in a self-paced (...)
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  17.  83
    A Framework for Modeling the Interaction of Syntactic Processing and Eye Movement Control.Felix Engelmann, Shravan Vasishth, Ralf Engbert & Reinhold Kliegl - 2013 - Topics in Cognitive Science 5 (3):452-474.
    We explore the interaction between oculomotor control and language comprehension on the sentence level using two well-tested computational accounts of parsing difficulty. Previous work (Boston, Hale, Vasishth, & Kliegl, 2011) has shown that surprisal (Hale, 2001; Levy, 2008) and cue-based memory retrieval (Lewis & Vasishth, 2005) are significant and complementary predictors of reading time in an eyetracking corpus. It remains an open question how the sentence processor interacts with oculomotor control. Using a simple linking hypothesis proposed in Reichle, Warren, and (...)
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  18.  12
    Effects of Early Cues on the Processing of Chinese Relative Clauses: Evidence for Experience‐Based Theories.Fuyun Wu, Elsi Kaiser & Shravan Vasishth - 2018 - Cognitive Science 42 (S4):1101-1133.
    We used Chinese prenominal relative clauses to test the predictions of two competing accounts of sentence comprehension difficulty: the experience-based account of Levy () and the Dependency Locality Theory. Given that in Chinese RCs, a classifier and/or a passive marker BEI can be added to the sentence-initial position, we manipulated the presence/absence of classifiers and the presence/absence of BEI, such that BEI sentences were passivized subject-extracted RCs, and no-BEI sentences were standard object-extracted RCs. We conducted two self-paced reading experiments, using (...)
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  19.  19
    Dependency Resolution Difficulty Increases with Distance in Persian Separable Complex Predicates: Evidence for Expectation and Memory-Based Accounts.Molood S. Safavi, Samar Husain & Shravan Vasishth - 2016 - Frontiers in Psychology 7.
  20.  10
    Prosodic Focus Marking in Silent Reading: Effects of Discourse Context and Rhythm.Gerrit Kentner & Shravan Vasishth - 2016 - Frontiers in Psychology 7.
  21.  11
    Determinants of Scanpath Regularity in Reading.Titus Malsburg, Reinhold Kliegl & Shravan Vasishth - 2015 - Cognitive Science 39 (7):1675-1703.
    Scanpaths have played an important role in classic research on reading behavior. Nevertheless, they have largely been neglected in later research perhaps due to a lack of suitable analytical tools. Recently, von der Malsburg and Vasishth proposed a new measure for quantifying differences between scanpaths and demonstrated that this measure can recover effects that were missed with the traditional eyetracking measures. However, the sentences used in that study were difficult to process and scanpath effects accordingly strong. The purpose of the (...)
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  22. Symbolic Models of Human Sentence Processing.Shravan Vasishth & Richard L. Lewis - 2006 - In Keith Brown (ed.), Encyclopedia of Language and Linguistics. Elsevier. pp. 410--419.
  23. A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia.Paula Lissón, Dorothea Pregla, Bruno Nicenboim, Dario Paape, Mick L. Van het Nederend, Frank Burchert, Nicole Stadie, David Caplan & Shravan Vasishth - 2021 - Cognitive Science 45 (4):e12956.
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  24.  2
    A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia.Paula Lissón, Dorothea Pregla, Bruno Nicenboim, Dario Paape, Mick L. het Nederend, Frank Burchert, Nicole Stadie, David Caplan & Shravan Vasishth - 2021 - Cognitive Science 45 (4).
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  25.  1
    Modeling Misretrieval and Feature Substitution in Agreement Attraction: A Computational Evaluation.Dario Paape, Serine Avetisyan, Sol Lago & Shravan Vasishth - 2021 - Cognitive Science 45 (8):e13019.
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  26.  7
    Quadruplex Negatio Invertit? The On-Line Processing of Depth Charge Sentences.Dario Paape, Shravan Vasishth & Titus von der Malsburg - 2020 - Journal of Semantics 37 (4):509-555.
    So-called “depth charge” sentences are interpreted by the vast majority of speakers to mean the opposite of what their compositional semantics would dictate. The semantic inversion that is observed for sentences of this type is the strongest and most persistent linguistic illusion known to the field. However, it has recently been argued that the preferred interpretation arises not because of a prevailing failure of the processing system, but rather because the non-compositional meaning is grammaticalized in the form of a stored (...)
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  27.  2
    A Bayesian Approach to Dynamical Modeling of Eye-Movement Control in Reading of Normal, Mirrored, and Scrambled Texts.Maximilian M. Rabe, Johan Chandra, André Krügel, Stefan A. Seelig, Shravan Vasishth & Ralf Engbert - forthcoming - Psychological Review.
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  28.  8
    A Principled Approach to Feature Selection in Models of Sentence Processing.Garrett Smith & Shravan Vasishth - 2020 - Cognitive Science 44 (12).
    Among theories of human language comprehension, cue‐based memory retrieval has proven to be a useful framework for understanding when and how processing difficulty arises in the resolution of long‐distance dependencies. Most previous work in this area has assumed that very general retrieval cues like [+subject] or [+singular] do the work of identifying (and sometimes misidentifying) a retrieval target in order to establish a dependency between words. However, recent work suggests that general, handpicked retrieval cues like these may not be enough (...)
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  29. Human Language Processing: Symbolic Models.Shravan Vasishth & R. L. Lewis - 2006 - In Keith Brown (ed.), Encyclopedia of Language and Linguistics. Elsevier. pp. 5--410.
  30.  2
    Determinants of Scanpath Regularity in Reading.Titus von der Malsburg, Reinhold Kliegl & Shravan Vasishth - 2015 - Cognitive Science 39 (7):1675-1703.
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