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N-gram probability effects in a cloze task.
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/ShaoulBaayenWestburyML2014.pdf (2014)
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Sidestepping the combinatorial explosion: Towards a processing model based on discriminative learning
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenHendrixLSA2011.pdf (2013)
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Quantitative social dialectology: explaining linguistic variation geographically and socially
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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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A real experiment is a factorial experiment
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/baayenML2010matching.pdf (2010)
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The directed compound graph of English An exploration of lexical connectivity and its processing consequences
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenLingBerichte2010.pdf (2010)
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Corpus linguistics and naïve discriminative learning
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenBJAL2011.pdf (2010)
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Abstract:
Three classifiers from machine learning (the generalized linear mixed model, memory based learning, and support vector machines) are com-pared with a naive discriminative learning classifier, derived from ba-sic principles of error-driven learning characterizing animal and hu-man learning. Tested on the dative alternation in English, using the Switchboard data from (Bresnan, Cueni, Nikitina, & Baayen, 2007), naive discriminative learning emerges with state-of-the-art predictive accuracy. Naive discriminative learning offers a unified framework for understanding the learning of probabilistic distributional patterns, for classification, and for a cognitive grounding of distinctive collexeme analysis. According to Gries (2011), linguistics is a distributional science exploring the distribu-tion of elements at all levels of linguistic structure. He describes corpus linguistics as investigating the frequencies of occurrence of such elements in corpora, their disper-
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URL: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenBJAL2011.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.6011
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Reading of polymorphemic Dutch compounds: Towards a multiple route model of lexical processing
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/kupermanSchreuderBertramBaayenJEP2009.pdf (2009)
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Capturing Correlational Structure in Russian Paradigms: a Case Study in Logistic Mixed-Effects Modeling
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/jandaNessetBaayenCLLT2010.pdf (2009)
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Predicting the dative alternation
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In: http://www.stanford.edu/~bresnan/CFI04.pdf (2007)
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Lexical frequency and voice assimilation
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In: http://www.ualberta.ca/~baayen/publications/ernestusetaljasa.pdf (2006)
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Predicting the dative alternation
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BresnanEtAL.pdf (2005)
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Predicting the dative alternation
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In: http://esslli2009.labri.fr/documents/04-BresnanEtAL2007.pdf (2005)
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Predicting the dative alternation
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In: http://www.stanford.edu/~bresnan/qs-submit.pdf (2005)
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Running title:
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In: http://www.ualberta.ca/~baayen/publications/PluymaekersEtAlJASA.pdf (2005)
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Morphological family size in a morphologically rich language: The case of Finnish compared with Dutch and Hebrew
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In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/MoscosoBertramSchreuderBaayenJEP2004.pdf (2004)
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corresponding author:
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In: http://roa.rutgers.edu/files/720-0305/720-BRESNAN-0-0.PDF (2004)
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Predicting the unpredictable: Interpreting neutralized segments in Dutch. Language 79.5–38
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In: http://muse.jhu.edu/journals/language/v079/79.1ernestus.pdf (2003)
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Extracting the lowestfrequency words: Pitfalls and possibilities
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In: http://pami.uwaterloo.ca/~nwanas/ftp/Lingusitics/weeber00.pdf (2000)
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Extracting the lowest-frequency words: Pitfalls and possibilities
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In: http://lhncbc.nlm.nih.gov/lhc/docs/published/2000/pub2000060.pdf (2000)
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The Effects of Lexical Specialization on
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In: http://acl.ldc.upenn.edu/J/J96/J96-4001.pdf (1996)
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