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Journal ArticleDOI

Predicting syntax: Processing dative constructions in American and Australian varieties of English

Joan Bresnan, +1 more
- 01 Jan 2010 - 
- Vol. 86, Iss: 1, pp 168-213
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TLDR
This article used probabilistic models of corpus data in a novel way, to measure and compare the syntactic predictive capacities of speakers of different varieties of the same language, and found that speakers' knowledge of probablistic grammatical choices can vary across different languages and can be detected psycholinguistically in the individual.
Abstract
The present study uses probabilistic models of corpus data in a novel way, to measure and compare the syntactic predictive capacities of speakers of different varieties of the same language. The study finds that speakers' knowledge of probabilistic grammatical choices can vary across different varieties of the same language and can be detected psycholinguistically in the individual. In three pairs of experiments, Australians and Americans responded reliably to corpus model probabilities in rating the naturalness of alternative dative constructions, their lexical-decision latencies during reading varied inversely with the syntactic probabilities of the construction, and they showed subtle covariation in these tasks, which is in line with quantitative differences in the choices of datives produced in the same contexts.

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Dative and genitive variability in Late Modern English: Exploring cross-constructional variation and change

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References
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Book

Mixed-Effects Models in S and S-PLUS

TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
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TL;DR: The Mathematical Theory of Communication (MTOC) as discussed by the authors was originally published as a paper on communication theory more than fifty years ago and has since gone through four hardcover and sixteen paperback printings.
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Building a large annotated corpus of English: the penn treebank

TL;DR: As a result of this grant, the researchers have now published on CDROM a corpus of over 4 million words of running text annotated with part-of- speech (POS) tags, which includes a fully hand-parsed version of the classic Brown corpus.
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Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis

TL;DR: In this article, the authors present a case study in least squares fitting and interpretation of a linear model, where they use nonparametric transformations of X and Y to fit a linear regression model.
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Mixed-effects modeling with crossed random effects for subjects and items

TL;DR: In this article, the authors provide an introduction to mixed-effects models for the analysis of repeated measurement data with subjects and items as crossed random effects, and a worked-out example of how to use recent software for mixed effects modeling is provided.
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