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Antepenultimate stress in Spanish: In defense of syllable weight and grammatically-informed analogy

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      Abstract

      Spanish has a contrastive stress system with three major possibilities: antepenultimate, penultimate, and final stress. While penultimate and final stress are to some extent predictable, a major point of contention in the literature is whether antepenultimate stress assignment is rule-governed ( Harris 1983; Roca 1991; i.a.). By examining different analogical and grammatically-informed models and their predictive power in capturing experimental data, I show that a Maximum Entropy model ( Hayes & Wilson 2008) that includes syllable weight in its lexical representations is the best predictor of antepenultimate stress assignment. In doing so, I also dispute the claim that the trill in Spanish is a geminate tap ( Harris 1983), and provide support for its status as a singleton consonant.

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        Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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          Statistics notes: Absence of evidence is not evidence of absence

           D Altman,  J Bland (1995)
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            Author and article information

            Affiliations
            [1 ]Yale University, 370 Temple St., New Haven, CT, US
            Contributors
            ORCID: http://orcid.org/0000-0002-6862-8422
            Journal
            2397-1835
            Glossa: a journal of general linguistics
            Ubiquity Press
            2397-1835
            19 July 2018
            2018
            : 3
            : 1
            10.5334/gjgl.433
            Copyright: © 2018 The Author(s)

            This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

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