TRANSLATING BEYOND WORDS: PARALINGUISTIC CHALLENGES IN MACHINE TRANSLATION AND AUDIOVISUAL TRANSLATION

Translation is not limited to transferring words and grammatical structures from one language into another, because communication also depends on voice, emotion, intonation, pauses, gestures, facial expressions, and other paralinguistic signals. This article examines the main difficulties that arise when such information is transferred through machine translation and audiovisual translation. Particular attention is given to stress, intonation, tone of voice, hesitation, laughter, sarcasm, gestures, and culturally specific visual signals. The study uses a qualitative comparative approach and analyzes representative examples in order to identify how communicative meaning may be weakened or lost during automated translation. The discussion shows that a translation can be lexically and grammatically correct while still failing to reproduce the speaker’s emotional attitude or communicative intention. The article therefore argues that future translation technologies should treat paralinguistic information as an important part of meaning rather than as secondary information.

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Publication Details

Journal
International Journal of Literature and Language Studies
Published
2026-10-16
DOI
https://doi.org/10.5281/zenodo.23423092
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

TRANSLATING BEYOND WORDS: PARALINGUISTIC CHALLENGES IN MACHINE TRANSLATION AND AUDIOVISUAL TRANSLATION

Worldly Knowledge Publishing Centre, Umidaxon Aslamova
International Journal of Literature and Language Studies
Translation Studies and Practices
article

TRANSLATING BEYOND WORDS: PARALINGUISTIC CHALLENGES IN MACHINE TRANSLATION AND AUDIOVISUAL TRANSLATION

Worldly Knowledge Publishing Centre, Umidaxon Aslamova
article en

Abstract

Translation is not limited to transferring words and grammatical structures from one language into another, because communication also depends on voice, emotion, intonation, pauses, gestures, facial expressions, and other paralinguistic signals. This article examines the main difficulties that arise when such information is transferred through machine translation and audiovisual translation. Particular attention is given to stress, intonation, tone of voice, hesitation, laughter, sarcasm, gestures, and culturally specific visual signals. The study uses a qualitative comparative approach and analyzes representative examples in order to identify how communicative meaning may be weakened or lost during automated translation. The discussion shows that a translation can be lexically and grammatically correct while still failing to reproduce the speaker’s emotional attitude or communicative intention. The article therefore argues that future translation technologies should treat paralinguistic information as an important part of meaning rather than as secondary information.

International Journal of Literature and Language Studies
Samarkand State Institute of Foreign Languages (UZ)
Openalex Percentile: Top 2%
Translation Studies and Practices
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