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      Gendered associations of English morphology

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          Abstract

          Morphological systems arise from language experience encoded in the lexicon, which includes much statistical and episodic information (see Pierrehumbert, 2006; Rácz, Pierrehumbert, Hay, & Papp, 2015). Lexical statistics have been successfully applied in theories of morphological learning and change ( Bybee, 1995), but there remains much unexplained variation in speakers’ morphological choices and patterns of generalization. A promising route for explanation is the role of social-indexical information in shaping morphological systems. We present a quantitative experimental study on the relationship of morphological perception to speaker gender, a highly salient aspect of the linguistic context that is known to be important in language variation and change. We show that people have significant success in associating English words with speaker gender, and that their implicit knowledge generalizes to gender associations of novel words (pseudowords) on the basis of their component morphemes. By analyzing judgments of morphological decomposition in conjunction with these indexical judgments, we also make inferences about the cognitive architecture for social-indexical effects in morphology.

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          Most cited references51

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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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            Indexical order and the dialectics of sociolinguistic life

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              Variation and the indexical field1

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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
                05 September 2018
                2018
                : 9
                : 1
                : 14
                Affiliations
                [1 ]Department of Linguistics, Northwestern University, Evanston, IL, US
                [2 ]Department of Engineering Science, University of Oxford, Oxford, UK
                Author information
                http://orcid.org/0000-0001-7856-9334
                Article
                10.5334/labphon.134
                bd34f855-a2d7-41d9-96e7-20a454899ed0
                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/.

                History
                : 12 January 2018
                : 20 July 2018
                Categories
                Journal article

                Applied linguistics,General linguistics,Linguistics & Semiotics
                morphology,pseudowords,indexicality,sociolinguistics

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