32 found
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  1.  25
    Understanding normal and impaired word reading: Computational principles in quasi-regular domains.David C. Plaut, James L. McClelland, Mark S. Seidenberg & Karalyn Patterson - 1996 - Psychological Review 103 (1):56-115.
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  2.  34
    The lexical nature of syntactic ambiguity resolution.Maryellen C. MacDonald, Neal J. Pearlmutter & Mark S. Seidenberg - 1994 - Psychological Review 101 (4):676-703.
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  3.  33
    Signing behavior in apes: A critical review.Mark S. Seidenberg & Laura A. Petitto - 1979 - Cognition 7 (2):177-215.
  4.  35
    Computing the Meanings of Words in Reading: Cooperative Division of Labor Between Visual and Phonological Processes.Michael W. Harm & Mark S. Seidenberg - 2004 - Psychological Review 111 (3):662-720.
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  5.  32
    Phonology, reading acquisition, and dyslexia: Insights from connectionist models.Michael W. Harm & Mark S. Seidenberg - 1999 - Psychological Review 106 (3):491-528.
  6.  69
    On the nature and scope of featural representations of word meaning.Ken McRae, Virginia R. de Sa & Mark S. Seidenberg - 1997 - Journal of Experimental Psychology 126 (2):99-130.
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  7.  40
    Distributional structure in language: Contributions to noun–verb difficulty differences in infant word recognition.Jon A. Willits, Mark S. Seidenberg & Jenny R. Saffran - 2014 - Cognition 132 (3):429-436.
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  8.  30
    The time course of phonological code activation in two writing systems.Mark S. Seidenberg - 1985 - Cognition 19 (1):1-30.
  9.  25
    Constraining models of word recognition.Mark S. Seidenberg - 1985 - Cognition 20 (2):169-190.
  10. Evidence from great apes concerning the biological bases of language.Mark S. Seidenberg - 1986 - In William Demopoulos (ed.), Language Learning and Concept Acquisition: Foundational Issues. Ablex.
     
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  11.  25
    Steps toward an ethological science.Mark S. Seidenberg - 1983 - Behavioral and Brain Sciences 6 (3):377-377.
  12.  43
    On the bases of two subtypes of development dyslexia.Franklin R. Manis, Mark S. Seidenberg, Lisa M. Doi, Catherine McBride-Chang & Alan Petersen - 1996 - Cognition 58 (2):157-195.
  13.  75
    Specific language impairment: a deficit in grammar or processing?Marc F. Joanisse & Mark S. Seidenberg - 1998 - Trends in Cognitive Sciences 2 (7):240-247.
  14.  59
    Quasiregularity and Its Discontents: The Legacy of the Past Tense Debate.Mark S. Seidenberg & David C. Plaut - 2014 - Cognitive Science 38 (6):1190-1228.
    Rumelhart and McClelland's chapter about learning the past tense created a degree of controversy extraordinary even in the adversarial culture of modern science. It also stimulated a vast amount of research that advanced the understanding of the past tense, inflectional morphology in English and other languages, the nature of linguistic representations, relations between language and other phenomena such as reading and object recognition, the properties of artificial neural networks, and other topics. We examine the impact of the Rumelhart and McClelland (...)
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  15.  63
    Rules Versus Statistics: Insights From a Highly Inflected Language.Jelena Mirković, Mark S. Seidenberg & Marc F. Joanisse - 2011 - Cognitive Science 35 (4):638-681.
    Inflectional morphology has been taken as a paradigmatic example of rule-governed grammatical knowledge (Pinker, 1999). The plausibility of this claim may be related to the fact that it is mainly based on studies of English, which has a very simple inflectional system. We examined the representation of inflectional morphology in Serbian, which encodes number, gender, and case for nouns. Linguists standardly characterize this system as a complex set of rules, with disagreements about their exact form. We present analyses of a (...)
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  16.  18
    More words but still no lexicon: Reply to Besner et al. (1990).Mark S. Seidenberg & James L. McClelland - 1990 - Psychological Review 97 (3):447-452.
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  17.  17
    Language and connectionism: the developing interface.Mark S. Seidenberg - 1994 - Cognition 50 (1-3):385-401.
  18. Consistency effects in the generation of past tense morphology.Mark S. Seidenberg & Maggie Bruck - 1990 - Bulletin of the Psychonomic Society 28 (6):522-522.
     
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  19.  12
    Preface.Morten H. Christiansen, Nick Chater & Mark S. Seidenberg - 1999 - Cognitive Science 23 (4):415-415.
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  20.  56
    Writing systems: Not optimal, but good enough.Mark S. Seidenberg & Ram Frost - 2012 - Behavioral and Brain Sciences 35 (5):305.
    Languages and writing systems result from satisfying multiple constraints related to learning, comprehension, production, and their biological bases. Orthographies are not optimal because these constraints often conflict, with further deviations due to accidents of history and geography. Things tend to even out because writing systems and the languages they represent exhibit systematic trade-offs between orthographic depth and morphological complexity.
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  21.  51
    Impact of dialect use on a basic component of learning to read.Megan C. Brown, Daragh E. Sibley, Julie A. Washington, Timothy T. Rogers, Jan R. Edwards, Maryellen C. MacDonald & Mark S. Seidenberg - 2015 - Frontiers in Psychology 6.
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  22.  25
    Computational bases of two types of developmental dyslexia.Michael W. Harm & Mark S. Seidenberg - 1996 - In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of The Cognitive Science Society. Lawrence Erlbaum. pp. 18--364.
  23. Using connectionist networks to examine the role of prior constraints in human learning.Michael Harm, Lori Altmann & Mark S. Seidenberg - 1994 - In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society: August 13 to 16, 1994, Georgia Institute of Technology. Erlbaum. pp. 392--396.
  24. Acquisition and representation of grammatical categories: Grammatical gender in a connectionist network.Jelena Mirkovic, Mark S. Seidenberg & Maryellen C. MacDonald - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1954--1959.
  25.  30
    Distinguishing literal from metaphorical applications of Bayesian approaches.Timothy T. Rogers & Mark S. Seidenberg - 2011 - Behavioral and Brain Sciences 34 (4):211-212.
    We distinguish between literal and metaphorical applications of Bayesian models. When intended literally, an isomorphism exists between the elements of representation assumed by the rational analysis and the mechanism that implements the computation. Thus, observation of the implementation can externally validate assumptions underlying the rational analysis. In other applications, no such isomorphism exists, so it is not clear how the assumptions that allow a Bayesian model to fit data can be independently validated.
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  26. Books etcetera-talking nets: An oral history of neural networks.Mark S. Seidenberg - 1999 - Trends in Cognitive Sciences 3 (3):120-121.
  27.  14
    Box 1. Main types of morphological structure.Mark S. Seidenberg & Laura M. Gonnerman - 2000 - Trends in Cognitive Sciences 4 (9):353-361.
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  28. Connectionist models of reading.Mark S. Seidenberg - 2009 - In Gareth Gaskell (ed.), Oxford Handbook of Psycholinguistics. Oxford University Press.
  29.  34
    Explanatory adequacy and models of word recognition.Mark S. Seidenberg - 1985 - Behavioral and Brain Sciences 8 (4):724-726.
  30.  29
    Lexicon as module.Mark S. Seidenberg - 1985 - Behavioral and Brain Sciences 8 (1):31-32.
  31.  31
    Writing systems: Not optimal, but good enough – Erratum.Mark S. Seidenberg - 2012 - Behavioral and Brain Sciences 35 (6):467-467.
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  32.  27
    Error, error everywhere: A look at megastudies of word reading.Daragh E. Sibley, Christopher T. Kello & Mark S. Seidenberg - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1036--1041.
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