Lexico-Semantic Features in Music Instruction Discourse

This study investigates the lexico-semantic features of spoken discourse in individual music lessons across five instruments: drum, guitar, piano, saxophone, and violin. A 609,000-word corpus (MuLesCo) was compiled from YouTube-based lessons and analyzed using the UCREL Semantic Analysis System (USAS). An inter-domain comparison with the Open American National Corpus (OANC) of Spoken revealed that music instruction constitutes a distinctive pedagogical register characterized by procedural, anatomical, auditory, and evaluative vocabulary. Intra-domain analysis further showed that modality-specific demands, such as breath control in saxophone, finger precision in guitar and piano, and bowing technique in violin, shape the lexical patterns of instructional talk in systematic ways. While USAS successfully identified dominant semantic domains, it frequently misclassified polysemous terms. These misclassifications highlighted both the limitations of general-purpose taggers in specialized discourse and their pedagogical value for raising awareness of semantic flexibility. The findings suggest that music instructional discourse offers a valuable resource for content and language integrated learning and corpus-informed pedagogy by providing authentic, context-sensitive input. At the same time, the study underscores the need for domain-adapted Natural Language Processing (NLP) tools. By demonstrating how linguistic form and musical function intersect, this research contributes to applied corpus linguistics and music pedagogy.

Authors

Publication Details

Journal
Studies in English Education
Published
2025-09-30
DOI
https://doi.org/10.22275/see.30.3.05
Primary Topic
Language, Communication, and Linguistic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lexico-Semantic Features in Music Instruction Discourse

Seongshik Kim
Studies in English Education
Language, Communication, and Linguistic Studies
article

Lexico-Semantic Features in Music Instruction Discourse

Seongshik Kim
article en

Abstract

This study investigates the lexico-semantic features of spoken discourse in individual music lessons across five instruments: drum, guitar, piano, saxophone, and violin. A 609,000-word corpus (MuLesCo) was compiled from YouTube-based lessons and analyzed using the UCREL Semantic Analysis System (USAS). An inter-domain comparison with the Open American National Corpus (OANC) of Spoken revealed that music instruction constitutes a distinctive pedagogical register characterized by procedural, anatomical, auditory, and evaluative vocabulary. Intra-domain analysis further showed that modality-specific demands, such as breath control in saxophone, finger precision in guitar and piano, and bowing technique in violin, shape the lexical patterns of instructional talk in systematic ways. While USAS successfully identified dominant semantic domains, it frequently misclassified polysemous terms. These misclassifications highlighted both the limitations of general-purpose taggers in specialized discourse and their pedagogical value for raising awareness of semantic flexibility. The findings suggest that music instructional discourse offers a valuable resource for content and language integrated learning and corpus-informed pedagogy by providing authentic, context-sensitive input. At the same time, the study underscores the need for domain-adapted Natural Language Processing (NLP) tools. By demonstrating how linguistic form and musical function intersect, this research contributes to applied corpus linguistics and music pedagogy.

Studies in English EducationVol. 30(3)
Openalex Percentile: Top 66%
Language, Communication, and Linguistic Studies
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.