Hungarian EFL Learners’ Perception of Intrusive R in English

This study investigates the perception of Intrusive-R among Hungarian learners of English. 24 participants performed an AX discrimination task focusing on sentence pairs differing in that one sentence included an Intrusive-R. Of 264 instances of detectable Intrusive-R’s, participants accurately identified 58 (21.97), and in 78 other cases (29.55%) they managed to find the difference but could only identify it indirectly. Factors influencing perception included stress and the presence of another /r/ near the intrusive one.

Authors

Institutions

Publication Details

Journal
Pázmány papers.
Published
2024-12-31
DOI
https://doi.org/10.69706/pp.2024.2.1.9
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hungarian EFL Learners’ Perception of Intrusive R in English

Ágnes Piukovics, Réka Hajner
Pázmány papers.
Computational and Text Analysis Methods
article

Hungarian EFL Learners’ Perception of Intrusive R in English

Ágnes Piukovics, Réka Hajner
article en

Abstract

This study investigates the perception of Intrusive-R among Hungarian learners of English. 24 participants performed an AX discrimination task focusing on sentence pairs differing in that one sentence included an Intrusive-R. Of 264 instances of detectable Intrusive-R’s, participants accurately identified 58 (21.97), and in 78 other cases (29.55%) they managed to find the difference but could only identify it indirectly. Factors influencing perception included stress and the presence of another /r/ near the intrusive one.

Pázmány papers.Vol. 2(1)
Károli Gáspár University of the Reformed Church in Hungary (HU), Pázmány Péter Catholic University (HU)
Reduced inequalities
Openalex Percentile: Top 55%
Computational and Text Analysis Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.