Native and non-native listeners’ perception of Serbian lexical pitch accents

Abstract The present study explores the perceptual similarity space of Serbian lexical pitch accents as perceived by speakers of a lexical pitch accent language (native Serbian speakers) and speakers of a language with no lexical prosodic contrast (French speakers). Some 40 Serbian and 60 French speakers carried out an online free classification task which required them to listen to nonwords and position digital icons representing them in proximity to each other based on their similarity. Given that Serbian is a pitch-accent language, each nonword carried a lexical pitch accent type patterned according to Serbian word-level prosodic rules. The accent types therefore consisted of a combination of length (long, short) and pitch (rising, falling). To interpret the results, we applied multidimensional scaling (MDS) and clustering analyses, which revealed length as a clear dimension of the perceptual salience of lexical pitch accent, while pitch movement distinctions varied.

Authors

Institutions

Publication Details

Journal
The Canadian Journal of Linguistics / La revue canadienne de linguistique
Published
2026-10-26
DOI
https://doi.org/10.1017/cnj.2026.10041
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Native and non-native listeners’ perception of Serbian lexical pitch accents

Stephen Winters, Dušan Nikolić
The Canadian Journal of Linguistics / La revue canadienne de linguistique
Phonetics and Phonology Research
article

Native and non-native listeners’ perception of Serbian lexical pitch accents

Stephen Winters, Dušan Nikolić
article en

Abstract

Abstract The present study explores the perceptual similarity space of Serbian lexical pitch accents as perceived by speakers of a lexical pitch accent language (native Serbian speakers) and speakers of a language with no lexical prosodic contrast (French speakers). Some 40 Serbian and 60 French speakers carried out an online free classification task which required them to listen to nonwords and position digital icons representing them in proximity to each other based on their similarity. Given that Serbian is a pitch-accent language, each nonword carried a lexical pitch accent type patterned according to Serbian word-level prosodic rules. The accent types therefore consisted of a combination of length (long, short) and pitch (rising, falling). To interpret the results, we applied multidimensional scaling (MDS) and clustering analyses, which revealed length as a clear dimension of the perceptual salience of lexical pitch accent, while pitch movement distinctions varied.

The Canadian Journal of Linguistics / La revue canadienne de linguistique
University of Calgary (CA)
Openalex Percentile: Top 8%
Phonetics and Phonology Research
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.

Laika access coming soon