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      Epenthetic vowel production of unfamiliar medial consonant clusters by Japanese speakers

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          Abstract

          Existing nativized loanword studies have traditionally suggested that there are three epenthetic vowels in Japanese, which reflect both phonotactic restrictions and articulatory properties of certain consonant-vowel sequences in the language. Recent findings, however, call this tri-partite epenthesis pattern into question: First, several studies suggest that this epenthesis pattern is not true in the realm of perception and is not completely regular in production, and second, the relevant phonotactic restrictions seem to be weakening even outside of epenthesis contexts. This paper therefore investigates the extent to which the spontaneous choice of epenthetic vowels in the production of Japanese conforms to the traditional tri-partite pattern. Epenthesis was induced by presenting pseudo-word stimuli of the form of [aCCa] (C = a voiced consonant) to subjects orthographically. The findings suggest that indeed, the production pattern does not fully conform to what is generally reported for nativized loanwords; in particular, the traditionally “default” vowel [ɯ] is used by our participants frequently in all contexts, including the two where [o] or [i] is usually reported. That said, we also show that there is considerable variability across speakers as to which vowel is epenthesized, especially in the palatal context, and this variability includes tokens of vowels similar to all possible lexical vowels of Japanese.

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          lmerTest Package: Tests in Linear Mixed Effects Models

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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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              Mastering variation: variance components and personalised medicine

              Abstract Various sources of variation in observed response in clinical trials and clinical practice are considered, and ways in which the corresponding components of variation might be estimated are discussed. Although the issues have been generally well‐covered in the statistical literature, they seem to be poorly understood in the medical literature and even the statistical literature occasionally shows some confusion. To increase understanding and communication, some simple graphical approaches to illustrating issues are proposed. It is also suggested that reducing variation in medical practice might make as big a contribution to improving health outcome as personalising its delivery according to the patient. It is concluded that the common belief that there is a strong personal element in response to treatment is not based on sound statistical evidence. © 2015 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.
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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
                25 November 2019
                2019
                : 10
                : 1
                : 21
                Affiliations
                [1 ]Department of Linguistics, University of Canterbury, NZ
                [2 ]Department of Linguistics, University of British Columbia, CA
                [3 ]Office of Academic Affairs, The Ohio State University, US
                Article
                10.5334/labphon.158
                fddb0533-c0ea-4048-9dea-f7fb2571287a
                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
                : 16 July 2018
                : 11 October 2019
                Categories
                Journal article

                Applied linguistics,General linguistics,Linguistics & Semiotics
                Japanese,vowel epenthesis,phonotactics,loanword adaptation

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