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Semantic vector model on the Indonesian prefixes PE- and PEN-
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Reading Dutch trigrams - a discriminative learning model containing lexical bundles ...
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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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An analysis of the processing of multiword units in sentence reading and unit presentation using eye movement data: Implications for theories of MWUs
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An analysis of the processing of multiword units in sentence reading and unit presentation using eye movement data: Implications for theories of MWUs
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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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Abstract:
In this study we examine linguistic variation and its dependence on both social and geographic factors. We follow dialectometry in applying a quantitative methodology and focusing on dialect distances, and social dialectology in the choice of factors we examine in building a model to predict word pronunciation distances from the standard Dutch language to 424 Dutch dialects. We combine linear mixed-effects regression modeling with generalized additive modeling to predict the pronunciation distance of 559 words. Although geographical position is the dominant predictor, several other factors emerged as significant. The model predicts a greater distance from the standard for smaller communities, for communities with a higher average age, for nouns (as contrasted with verbs and adjectives), for more frequent words, and for words with relatively many vowels. The impact of the demographic variables, however, varied from word to word. For a majority of words, larger, richer and younger communities are moving towards the standard. For a smaller minority of words, larger, richer and younger communities emerge as driving a change away from the standard. Similarly, the strength of the effects of word frequency and word category varied geographically. The peripheral areas of the Netherlands showed a greater distance from the standard for nouns (as opposed to verbs and adjectives) as well as for high-frequency words, compared to the more central areas. Our findings indicate that changes in pronunciation have been spreading (in particular for low-frequency words) from the Hollandic center of economic power to the peripheral areas of the country, meeting
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.289.5631
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Corpus linguistics and naive discriminative learning A linguística de corpus e a aprendizagem discriminativa ingênua
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In: Revista Brasileira de Linguística Aplicada, Vol 11, Iss 2, Pp 295-328 (2011) (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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| 15 |
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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| 16 |
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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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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