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      The phonetics and phonology of lenition: A Campidanese Sardinian case study

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          Abstract

          This paper gives a detailed description of the consonant system of Campidanese Sardinian and makes methodological and theoretical contributions to the study of lenition. The data are drawn from a corpus of field recordings, including roughly 400 utterances produced by 15 speakers from the Trexenta and Western Campidanese areas. Campidanese has a complex lenition system that interacts with length, voicing, and manner contrasts. We show that the semi-automated lenition analysis presented in this journal by Ennever, Meakins, and Round can be fruitfully extended to our corpus, despite its much more heterogeneous set of materials in a genetically distant language. Intensity measurements from this method do not differ qualitatively from more traditional ones in their ability to detect lenition-fortition patterns, but do differ in interactions with stress. Lenition-fortition patterns reveal at least three levels of prosodic constituent in Campidanese, each of which is associated with medial lenition and initial fortition. Lenition affects all consonants and V-V transitions. It reduces duration, increases intensity, and probabilistically affects qualitative manner and voicing features in obstruents. Mediation analysis using regression modeling suggests that some intensity and most qualitative reflexes of lenition are explained by changes in duration, but not vice versa.

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          Fitting Linear Mixed-Effects Models Using lme4

          Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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            Random effects structure for confirmatory hypothesis testing: Keep it maximal.

            Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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              Perception of the speech code.

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                Author and article information

                Contributors
                Journal
                1868-6354
                Laboratory Phonology: Journal of the Association for Laboratory Phonology
                Ubiquity Press
                1868-6354
                26 September 2019
                2019
                : 10
                : 1
                : 16
                Affiliations
                [1 ]Department of World Languages, Literatures, and Linguistics, West Virginia University, Morgantown, WV, US
                [2 ]Universitá di Cagliari, Sardegna, IT
                Article
                10.5334/labphon.184
                5c6e9681-b5bd-4ab6-8386-d7339c079e50
                Copyright: © 2019 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/.

                History
                : 26 November 2018
                : 28 August 2019
                Categories
                Journal article

                Applied linguistics,General linguistics,Linguistics & Semiotics
                prosodic phrasing,duration,intensity,initial strengthening,fortition,lenition,Sardinian,Campidanian,Campidanese,consonant manner

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