Emotion and interpreting: Does affective languageimpact interpreting quality?

In recent decades,an increasing number of studieshas focused on interpreting emotional language and its potential impact on interpreters’ well-being. Interpreters have been shown to respond to emotionally charged content (e.g.,Korpal & Jasielska, 2019). However, little is known about the relationship between emotional content and interpreting quality. To fill this empirical gap, interpreting quality for neutral, negative and positive sentences was measured in both L2-to-L1 (English into Polish) and L1-to-L2 (Polish into English) interpreting. Twosetsof pre-tested sentences, matched for length and readability index,from psychophysiological studies(Korpal, Jankowiak, & Kaczmarek,2025; Korpal, Jankowiak, & Kaczmarek,2026),wereused for the present analysis. A propositional accuracy score and an error analysis (in line with Bartłomiejczyk, 2010), were applied to measure interpreting quality. The study results show that interpreting quality may be lower for affect-laden sentences, relative to neutral sentences, which can be mainly observed in a higher number of interpreting errors for affective content. Interpreting into L2 triggers more errors but tends not to impact propositional accuracyscores. Overall, the study contributes to interpreting studies by testing the relationship between affect-laden content and interpreting performance. Study outcomes can be applied in interpreter education by introducing more practice in interpreting potentially challenging affective language.

Publication Details

Journal
The International Journal of Translation and Interpreting Research
Published
2026-02-26
DOI
https://doi.org/10.12807/ti.118201.2026.a03
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emotion and interpreting: Does affective languageimpact interpreting quality?

The International Journal of Translation and Interpreting Research
Interpreting and Communication in Healthcare
article

Emotion and interpreting: Does affective languageimpact interpreting quality?

article en

Abstract

In recent decades,an increasing number of studieshas focused on interpreting emotional language and its potential impact on interpreters’ well-being. Interpreters have been shown to respond to emotionally charged content (e.g.,Korpal & Jasielska, 2019). However, little is known about the relationship between emotional content and interpreting quality. To fill this empirical gap, interpreting quality for neutral, negative and positive sentences was measured in both L2-to-L1 (English into Polish) and L1-to-L2 (Polish into English) interpreting. Twosetsof pre-tested sentences, matched for length and readability index,from psychophysiological studies(Korpal, Jankowiak, & Kaczmarek,2025; Korpal, Jankowiak, & Kaczmarek,2026),wereused for the present analysis. A propositional accuracy score and an error analysis (in line with Bartłomiejczyk, 2010), were applied to measure interpreting quality. The study results show that interpreting quality may be lower for affect-laden sentences, relative to neutral sentences, which can be mainly observed in a higher number of interpreting errors for affective content. Interpreting into L2 triggers more errors but tends not to impact propositional accuracyscores. Overall, the study contributes to interpreting studies by testing the relationship between affect-laden content and interpreting performance. Study outcomes can be applied in interpreter education by introducing more practice in interpreting potentially challenging affective language.

The International Journal of Translation and Interpreting ResearchVol. 18(1)
Quality Education
Openalex Percentile: Top 45%
Interpreting and Communication in Healthcare
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.