Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Incremental processing in head-final child language: online comprehension of relative clauses in Turkish-speaking children and adults
Download
index.pdf
Date
2015-10-21
Author
Özge, Duygu
Zeyrek Bozşahin, Deniz
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
219
views
0
downloads
Cite This
The present study investigates the parsing of pre-nominal relative clauses (RCs) in children for the first time with a real-time methodology that reveals moment-to-moment processing patterns as the sentence unfolds. A self-paced listening experiment with Turkish-speaking children (aged 5-8) and adults showed that both groups display a sign of processing cost both in subject and object RCs at different points through the flow of the utterance when integrating the cues that are uninformative (i.e., ambiguous in function) and that are structurally and probabilistically unexpected. Both groups show a processing facilitation as soon as the morphosyntactic dependencies are completed and parse the unbounded dependencies rapidly using the morphosyntactic cues rather than waiting for the clause-final filler. These findings show that five-year-old children show similar patterns to adults in processing the morphosyntactic cues incrementally and in forming expectations about the rest of the utterance on the basis of the probabilistic model of their language.
Subject Keywords
Pre-nominal relative clauses
,
Turkish
,
Child language processing
,
Head-final languages
,
Filler-gap dependencies
,
Morphosyntactic processing
,
Expectation-based parsing
URI
https://hdl.handle.net/11511/32325
Journal
LANGUAGE COGNITION AND NEUROSCIENCE
DOI
https://doi.org/10.1080/23273798.2014.995108
Collections
Graduate School of Informatics, Article
Suggestions
OpenMETU
Core
Language learning from the perspective of nonlinear dynamic systems
Hohenberger, Annette Edeltraud; Peltzer-Karpf, Annemarie (Walter de Gruyter GmbH, 2009-01-01)
This article outlines a nonlinear dynamic systems approach to language learning on the basis of developmental cognitive neuroscience. Language learning, on this view, is a process of experience-dependent shaping and selection of broadly defined domain-general and domain-specific genetic predispositions. The central concept of development is (neuro) cognitive,e growth in terms of self-organization. Linguistic structure-building is synergetic and emergent insofar as the acquisition of a critical mass of eleme...
Processing of conditional constructions in Turkish l2 speakers of English
Evcen, Ebru; Özge, Duygu; Department of English Language Teaching (2019)
This thesis aims to examine whether Turkish L2 learners of English process conditional constructions in an incremental and/or predictive manner. An offline grammaticality judgment (GJT) task was devised to test L2 learners’ sensitivity to grammatical violations and an online self-paced reading (SPR) task was designed to find out whether processing patterns of L2 learners would match existing L2 processing accounts. We manipulated the Connector Type (unless, unless…not, if…not) and Context Type (congruent, i...
Pronominal anaphora resolution in Turkish and English
Ertan, Melek; Zeyrek Bozşahin, Deniz; Department of Cognitive Sciences (2023-1-27)
This research analyzes pronominal anaphora in a Turkish and English translated TED corpus, namely the TED-MDB (Zeyrek et al., 2020) and presents a heuristic-based resolution algorithm for resolving pronominal anaphora in these languages separately. The corpus has characteristics of spoken language and has 364 English sentences aligned with their Turkish counterparts. The research is divided into two stages. In the first stage, the data was annotated using a web-based annotation tool INcePTION (Klie et al., ...
Bridging Brain and Educational Sciences: An Optical Brain Imaging Study of Visuospatial Reasoning
Çakır, Murat Perit; Izzetoglu, Meltem; Shewokis, Patricia A.; Izzetoglu, Kurtulus; Onaral, Banu (2011-10-22)
In this paper we present an experimental study where we investigated neural correlates of visuospatial reasoning during math problem solving in a computer-based environment to exemplify the potential for conducting interdisciplinary research that incorporates insights from educational research and cognitive neuroscience. Functional near-infrared spectroscopy (fNIRS) technology is used to measure changes in blood oxygenation in the dorsolateral and inferior prefrontal cortex while subjects attempt to solve t...
Hybrid statistical and machine learning modeling of cognitive neuroscience data
Çakar, Serenay; Gökalp Yavuz, Fulya (2023-01-01)
The nested data structure is prevalent for cognitive measure experiments due to repeatedly taken observations from different brain locations within subjects. The analysis methods used for this data type should consider the dependency structure among the repeated measurements. However, the dependency assumption is mainly ignored in the cognitive neuroscience data analysis literature. We consider both statistical, and machine learning methods extended to repeated data analysis and compare distinct algorithms ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
D. Özge and D. Zeyrek Bozşahin, “Incremental processing in head-final child language: online comprehension of relative clauses in Turkish-speaking children and adults,”
LANGUAGE COGNITION AND NEUROSCIENCE
, pp. 1230–1243, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32325.