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Hits 1 – 20 of 43

1	N-gram probability effects in a cloze task.
	Cyrus Shaoul; R. Harald Baayen; Chris F. Westbury
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/ShaoulBaayenWestburyML2014.pdf (2014)
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2	Sidestepping the combinatorial explosion: Towards a processing model based on discriminative learning
	R. Harald Baayen; Peter Hendrix
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenHendrixLSA2011.pdf (2013)
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3	Quantitative social dialectology: explaining linguistic variation geographically and socially
	Martijn Wieling; John Nerbonne; R. Harald Baayen
	In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/d8/a3/PLoS_One_2011_Sep_1_6(9)_e23613.tar.gz (2011)
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4	A real experiment is a factorial experiment
	R. Harald Baayen
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/baayenML2010matching.pdf (2010)
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5	The directed compound graph of English An exploration of lexical connectivity and its processing consequences
	R. Harald Baayen
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenLingBerichte2010.pdf (2010)
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6	Corpus linguistics and naïve discriminative learning
	R. Harald Baayen
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenBJAL2011.pdf (2010)
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7	Reading of polymorphemic Dutch compounds: Towards a multiple route model of lexical processing
	Victor Kuperman; Robert Schreuder; Raymond Bertram...
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/kupermanSchreuderBertramBaayenJEP2009.pdf (2009)
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8	Capturing Correlational Structure in Russian Paradigms: a Case Study in Logistic Mixed-Effects Modeling
	Laura A. J; Tore Nesset; R. Harald Baayen
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/jandaNessetBaayenCLLT2010.pdf (2009)
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9	Predicting the dative alternation
	Joan Bresnan; Anna Cueni; Tatiana Nikitina...
	In: http://www.stanford.edu/~bresnan/CFI04.pdf (2007)
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10	Lexical frequency and voice assimilation
	Mirjam Ernestus; Mybeth Lahey; Femke Verhees...
	In: http://www.ualberta.ca/~baayen/publications/ernestusetaljasa.pdf (2006)
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11	Predicting the dative alternation
	Joan Bresnan; Anna Cueni; Tatiana Nikitina...
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BresnanEtAL.pdf (2005)
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12	Predicting the dative alternation
	Joan Bresnan; Anna Cueni; Tatiana Nikitina...
	In: http://esslli2009.labri.fr/documents/04-BresnanEtAL2007.pdf (2005)
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13	Predicting the dative alternation
	Joan Bresnan; Anna Cueni; Tatiana Nikitina...
	In: http://www.stanford.edu/~bresnan/qs-submit.pdf (2005)
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14	Running title:
	Mark Pluymaekers; Mirjam Ernestus; R. Harald Baayen...
	In: http://www.ualberta.ca/~baayen/publications/PluymaekersEtAlJASA.pdf (2005)
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15	Morphological family size in a morphologically rich language: The case of Finnish compared with Dutch and Hebrew
	Raymond Bertram; Robert Schreuder; R. Harald Baayen
	In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/MoscosoBertramSchreuderBaayenJEP2004.pdf (2004)
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16	corresponding author:
	Joan Bresnan; Anna Cueni; Tatiana Nikitina...
	In: http://roa.rutgers.edu/files/720-0305/720-BRESNAN-0-0.PDF (2004)
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17	Predicting the unpredictable: Interpreting neutralized segments in Dutch. Language 79.5–38
	Mirjam Ernestus; R. Harald Baayen
	In: http://muse.jhu.edu/journals/language/v079/79.1ernestus.pdf (2003)
	Abstract: Among the most fascinating data for phonology are those showing how speakers incorporate new words and foreign words into their language system, since these data provide cues to the actual principles underlying language. In this article, we address how speakers deal with neutral-ized obstruents in new words. We formulate four hypotheses and test them on the basis of Dutch word-final obstruents, which are neutral for [voice]. Our experiments show that speakers predict the characteristics of neutralized segments on the basis of phonologically similar morphemes stored in the mental lexicon. This effect of the similar morphemes can be modeled in several ways. We compare five models, among them STOCHASTIC OPTIMALITY THEORY and ANALOGICAL MODELING OF LANGUAGE; all perform approximately equally well, but they differ in their complex-ity, with analogical modeling of language providing the most economical explanation.* 1. INTRODUCTION. The
	URL: http://muse.jhu.edu/journals/language/v079/79.1ernestus.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.3366
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18	Extracting the lowestfrequency words: Pitfalls and possibilities
	Marc Weeber; R. Harald Baayen
	In: http://pami.uwaterloo.ca/~nwanas/ftp/Lingusitics/weeber00.pdf (2000)
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19	Extracting the lowest-frequency words: Pitfalls and possibilities
	Marc Weeber; R. Harald Baayen
	In: http://lhncbc.nlm.nih.gov/lhc/docs/published/2000/pub2000060.pdf (2000)
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20	The Effects of Lexical Specialization on
	The Growth Curve; R. Harald Baayen
	In: http://acl.ldc.upenn.edu/J/J96/J96-4001.pdf (1996)
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