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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 41 – 57 of 57 41 THE COMPREHENSION OF ACOUSTICALLY REDUCED MORPHOLOGICALLY COMPLEX WORDS: THE ROLES OF DELETION, DURATION, AND FRQUENCY OF OCCURRENCE Mirjam Ernestus; R. Harald Baayen In: http://www.icphs2007.de/conference/Papers/1091/1091.pdf BASE Show details 42 LEXICAL DIFFERENCES BETWEEN TUSCAN DIALECTS AND STANDARD ITALIAN: A SOCIOLINGUISTIC ANALYSIS USING GENERALIZED ADDITIVE MIXED MODELING Martijn Wieling A; Simonetta Montemagni B; John Nerbonne C... In: http://urd.let.rug.nl/nerbonne/papers/Wieling-etal-Language-2013.pdf BASE Show details 43 Review TRENDS in Cognitive Sciences Vol.9 No.7 July 2005 Shifting paradigms: gradient structure in morphology Jennifer B. Hay; R. Harald Baayen In: http://ling.ucsd.edu/~ackerman/Szuperkurszus/Hay_Baayen.pdf BASE Show details 44 and irregularity in Dutch Wieke M. Tabak; Robert Schreuder; R. Harald Baayen In: http://www.ualberta.ca/~baayen/publications/tabaketal.pdf BASE Show details 45 1 TITLE: Morphological effects in auditory word recognition: Evidence from Danish RUNNING HEAD: Morphological effects in Danish Laura Winther Balling; R. Harald Baayen In: http://pure.au.dk/portal/files/11598358/Balling_BaayenLCP.pdf BASE Show details 46 JADT 2000: 5es Journées Internationales d’Analyse Statistique des Données Textuelles Mixture models for word frequency distributions Fiona J. Tweedie; R. Harald Baayen In: http://lexicometrica.univ-paris3.fr/jadt/jadt2000/pdf/12/12.pdf BASE Show details 47 5 Data Mining at the Intersection of Psychology and Linguistics R. Harald Baayen In: http://www.ualberta.ca/~baayen/publications/Baayen4Corners.pdf BASE Show details 48 Corpora and exemplars in phonology Mirjam Ernestus; Max Planck; R. Harald Baayen In: http://www.ualberta.ca/~baayen/publications/ErnestusBaayenPhonHandbook2011.pdf BASE Show details 49 Sidestepping the Combinatorial Explosion: An Explanation of n-gram Frequency Effects Based on Naive Discriminative Learning R. Harald Baayen; Peter Hendrix; Michael Ramscar In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenHendrixRamscar2013.pdf BASE Show details 50 BORDER EFFECTS AMONG CATALAN DIALECTS Martijn Wieling; Esteve Valls; R. Harald Baayen... In: http://urd.let.rug.nl/nerbonne/papers/Wieling-etal-2013-final-LeuvenStatisticsDays.pdf BASE Show details 51 Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially Martijn Wieling; John Nerbonne; R. Harald Baayen In: http://urd.let.rug.nl/nerbonne/papers/WielingNerbonneBaayen2011.pdf BASE Show details 52 Published by: The Royal Author(s) R. Harald Baayen; Robert Schreuder; R. Harald Baayen In: http://www.linguistics.ucla.edu/people/hayes/205/Readings/BaayenSchreuder2000RoyalSociety.pdf BASE Show details 53 Native Language Influences on Word Recognition in a Second Language: A Megastudy; Ton Dijkstra; Herbert Schriefers... In: http://www.lextale.com/Resources/lehm2008.pdf BASE Show details 54 Extracting the Lowest-Frequency Words: Pitfalls and Possibilities Marc Weeber; R. Harald Baayen; Rein Vos BASE Show details 55 The Effects of Lexical Specialization on the Growth Curve of the Vocabulary R. Harald Baayen BASE Show details 56 Language comprehension as a multi‐label classification problem Konstantin Sering; Petar Milin; R. Harald Baayen Abstract: The initial stage of language comprehension is a multilabel classification problem. Listeners or readers, presented with an utterance, need to discriminate between the intended words and the tens of thousands of other words they know. We propose to address this problem by pairing two networks. The first network is independently learned with the Rescorla Wagner model. The second network is based on the first network and learned with the rule of Widrow and Hoff. The first network has to recover from sublexical input features the meanings encoded in the language signal, resulting in a vector of activations over the lexicon. The second network takes this vector as input and further reduces uncertainty about the intended message. Classification performance for a lexicon with 52,000 entries is good. The model also correctly predicts several aspects of human language comprehension. By rejecting the traditional linguistic assumption that language is a (de)compositional system, and by instead espousing a discriminative approach, a more parsimonious yet highly effective functional characterization of the initial stage of language comprehension is obtained. URL: https://doi.org/10.1111/stan.12134 BASE Hide details 57 The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning R. Harald Baayen; Yu-Ying Chuang; Elnaz Shafaei-Bajestan. BASE Show details Page: 1 2 3

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