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      On the nature of the discourse effect on extraction in Japanese

      research-article
      1
      Glossa: a journal of general linguistics
      Ubiquity Press
      filler-gap dependency, processing, island effect, D-linking, Japanese

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          Abstract

          The present study tested whether the D-linked object moves from its thematic position over the subject or it originates where it appears in non-canonical sentences in Japanese. To this aim, we conducted acceptability judgment experiments that employed island effects as a diagnosis of movement and assessed whether the D-linking status of an extracted object of non-canonical OSV sentences escaped island effects. The results revealed that D-linking did not improve an acceptability of island violations, and therefore, a D-linked object of OSV does have a status of a moved constituent.

          The present result contributes to an understanding of a relationship between syntactic representation and processing of filler-gap dependencies. According to recent event-related brain potential (ERP) studies, non-canonical sentences with a filler-gap dependency elicits a P600 effect when there is no felicitous context, but they do not reveal any effect when the filler is discourse-old information. The present result is inconsistent with the interpretation that the D-linked filler does not have a status of a moved constituent, thereby resulting in no filler-gap dependency formation in Japanese sentence comprehension. Instead, the present result is consistent with the view that the P600 effect is not a neural cost of the reconstruction but is elicited by other cognitive processes, such as the resolution of the unsatisfied presupposition encoded by scrambling.

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          Most cited references38

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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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              The P600 as an index of syntactic integration difficulty

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                Author and article information

                Contributors
                Journal
                2397-1835
                Glossa: a journal of general linguistics
                Ubiquity Press
                2397-1835
                05 August 2019
                2019
                : 4
                : 1
                : 90
                Affiliations
                [1 ]Kyushu University, Fukuoka, JP
                Author information
                https://orcid.org/http://orcid.org/0000-0003-4465-8456
                Article
                10.5334/gjgl.822
                13a950d8-ceba-4bfc-8368-c16e28c9df58
                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 September 2018
                : 30 May 2019
                Categories
                Squib

                General linguistics,Linguistics & Semiotics
                Japanese,D-linking,island effect,processing,filler-gap dependency

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