Literature DB >> 33211523

Psycholinguistic mechanisms of classifier processing in sign language.

Julia Krebs1, Evie Malaia2, Ronnie B Wilbur3, Dietmar Roehm1.   

Abstract

Nonsigners viewing sign language are sometimes able to guess the meaning of signs by relying on the overt connection between form and meaning, or iconicity (cf. Ortega, Özyürek, & Peeters, 2020; Strickland et al., 2015). One word class in sign languages that appears to be highly iconic is classifiers: verb-like signs that can refer to location change or handling. Classifier use and meaning are governed by linguistic rules, yet in comparison with lexical verb signs, classifiers are highly variable in their morpho-phonology (variety of potential handshapes and motion direction within the sign). These open-class linguistic items in sign languages prompt a question about the mechanisms of their processing: Are they part of a gestural-semiotic system (processed like the gestures of nonsigners), or are they processed as linguistic verbs? To examine the psychological mechanisms of classifier comprehension, we recorded the electroencephalogram (EEG) activity of signers who watched videos of signed sentences with classifiers. We manipulated the sentence word order of the stimuli (subject-object-verb [SOV] vs. object-subject-verb [OSV]), contrasting the two conditions, which, according to different processing hypotheses, should incur increased processing costs for OSV orders. As previously reported for lexical signs, we observed an N400 effect for OSV compared with SOV, reflecting increased cognitive load for linguistic processing. These findings support the hypothesis that classifiers are a linguistic part of speech in sign language, extending the current understanding of processing mechanisms at the interface of linguistic form and meaning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Year:  2020        PMID: 33211523      PMCID: PMC8272559          DOI: 10.1037/xlm0000958

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.140


  43 in total

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Authors:  G Hickok; M Wilson; K Clark; E S Klima; M Kritchevsky; U Bellugi
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3.  The neural correlates of spatial language in English and American Sign Language: a PET study with hearing bilinguals.

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Journal:  Neuroimage       Date:  2004-11-23       Impact factor: 6.556

4.  To predict or not to predict: influences of task and strategy on the processing of semantic relations.

Authors:  Dietmar Roehm; Ina Bornkessel-Schlesewsky; Frank Rösler; Matthias Schlesewsky
Journal:  J Cogn Neurosci       Date:  2007-08       Impact factor: 3.225

5.  Event representations constrain the structure of language: Sign language as a window into universally accessible linguistic biases.

Authors:  Brent Strickland; Carlo Geraci; Emmanuel Chemla; Philippe Schlenker; Meltem Kelepir; Roland Pfau
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-27       Impact factor: 11.205

6.  Information Transfer Capacity of Articulators in American Sign Language.

Authors:  Evie Malaia; Joshua D Borneman; Ronnie B Wilbur
Journal:  Lang Speech       Date:  2017-05-31       Impact factor: 1.500

7.  The Impact of Transitional Movements and Non-Manual Markings on the Disambiguation of Locally Ambiguous Argument Structures in Austrian Sign Language (ÖGS).

Authors:  Julia Krebs; Ronnie B Wilbur; Phillip M Alday; Dietmar Roehm
Journal:  Lang Speech       Date:  2018-10-24       Impact factor: 1.500

8.  The biology of linguistic expression impacts neural correlates for spatial language.

Authors:  Karen Emmorey; Stephen McCullough; Sonya Mehta; Laura L B Ponto; Thomas J Grabowski
Journal:  J Cogn Neurosci       Date:  2012-12-18       Impact factor: 3.225

9.  Towards a computational model of actor-based language comprehension.

Authors:  Phillip M Alday; Matthias Schlesewsky; Ina Bornkessel-Schlesewsky
Journal:  Neuroinformatics       Date:  2014-01

10.  ERP evidence for telicity effects on syntactic processing in garden-path sentences.

Authors:  Evguenia Malaia; Ronnie B Wilbur; Christine Weber-Fox
Journal:  Brain Lang       Date:  2008-10-21       Impact factor: 2.381

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  1 in total

1.  Low-Frequency Entrainment to Visual Motion Underlies Sign Language Comprehension.

Authors:  E A Malaia; S C Borneman; J Krebs; R B Wilbur
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-12-03       Impact factor: 3.802

  1 in total

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