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

175
views

0
downloads

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

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.