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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 1 – 20 of 57 1 Discriminative lexicon simulations material Filip Nenadić; Benjamin V. Tucker; Elnaz Shafaei-Bajestan. - 2020 BASE Show details 2 Scripts ... Karlina Denistia; R. Harald Baayen. - : figshare, 2019 BASE Show details 3 Dataset ... Karlina Denistia; R. Harald Baayen. - : figshare, 2019 BASE Show details 4 Scripts ... Karlina Denistia; R. Harald Baayen. - : figshare, 2019 BASE Show details 5 Dataset ... Karlina Denistia; R. Harald Baayen. - : figshare, 2019 BASE Show details 6 Semantic vector model on the Indonesian prefixes PE- and PEN- Karlina Denistia; Elnaz Shafaei-Bajestan; R. Harald Baayen. - 2019 BASE Show details 7 Reading Dutch trigrams - a discriminative learning model containing lexical bundles ... Lensink, Saskia; R. Harald Baayen; Schiller, Niels O.. - : Unpublished, 2016 BASE Show details 8 N-gram probability effects in a cloze task.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) BASE Show details 9 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) Abstract: Arnon and Snider (2010) documented frequency effects for compositional 4-grams independently of the frequen-cies of lower-order n-grams. They argue that compre-henders apparently store frequency information about multi-word units. We show that n-gram frequency effects can emerge in a parameter-free computational model driven by naive discriminative learning, trained on a sample of 300,000 4-word phrases from the British National Corpus. The discriminative learning model is a full decomposition model, associating orthographic input features straightforwardly with meanings. The model does not make use of separate representations for derived or inflected words, nor for compounds, nor for phrases. Nevertheless, frequency effects are correctly predicted for all these linguistic units. Naive discrimina-tive learning provides the simplest and most economical explanation for frequency effects in language processing, obviating the need to posit counters in the head for, and the existence of, hundreds of millions of n-gram repre-sentations. Keywords: naive discriminative learning; Rescorla-Wagner equations; n-gram frequency effects; computational modeling URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.677.5442 http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenHendrixLSA2011.pdf BASE Hide details 10 An analysis of the processing of multiword units in sentence reading and unit presentation using eye movement data: Implications for theories of MWUs Columbus, Georgina C. - : University of Alberta. Department of Linguistics., 2012 BASE Show details 11 An analysis of the processing of multiword units in sentence reading and unit presentation using eye movement data: Implications for theories of MWUs Columbus, Georgina C. - : University of Alberta. Department of Linguistics., 2012 BASE Show details 12 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) BASE Show details 13 Corpus linguistics and naive discriminative learning A linguística de corpus e a aprendizagem discriminativa ingênua R. Harald Baayen In: Revista Brasileira de Linguística Aplicada, Vol 11, Iss 2, Pp 295-328 (2011) (2011) BASE Show details 14 A real experiment is a factorial experiment R. Harald Baayen In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/baayenML2010matching.pdf (2010) BASE Show details 15 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) BASE Show details 16 Corpus linguistics and naïve discriminative learning R. Harald Baayen In: http://www.sfs.uni-tuebingen.de/%7Ehbaayen/publications/BaayenBJAL2011.pdf (2010) BASE Show details 17 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) BASE Show details 18 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) BASE Show details 19 Predicting the dative alternation Joan Bresnan; Anna Cueni; Tatiana Nikitina... In: http://www.stanford.edu/~bresnan/CFI04.pdf (2007) BASE Show details 20 Lexical frequency and voice assimilation Mirjam Ernestus; Mybeth Lahey; Femke Verhees... In: http://www.ualberta.ca/~baayen/publications/ernestusetaljasa.pdf (2006) BASE Show details Page: 1 2 3

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