The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions

Dragos Ioan Ciobanu; Miguel Angel Rios Gaona; Alina Secara; Justus Brockmann; Raluca-Maria Chereji; Claudia Plieseis

doi:10.5565/rev/tradumatica.394

The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions

Dragos Ioan Ciobanu
, Miguel Angel Rios Gaona
, Alina Secara
, Justus Brockmann
, Raluca-Maria Chereji
, Claudia Plieseis

Institut für Translationswissenschaft

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Abstract

This eye-tracking experiment investigates the impact of text-to-speech (TTS) alongside translation and post-editing machine translation (PEMT) experience on translators’ cognitive effort, productivity, quality, and perceptions during PEMT from English intoGerman. TTS substantially lowered PEMT speed and target text mean fixation duration, and increased source and target text fixation counts and dwell time. TTS had no substantial effect on edit distance ortarget text quality. Experience had no substantial effect. 14 out of 21 participants preferred post-editing with TTS.

Originalsprache	Englisch
Seiten (von - bis)	323-354
Seitenumfang	32
Fachzeitschrift	Revista Tradumàtica
Ausgabenummer	22
DOIs	https://doi.org/10.5565/rev/tradumatica.394
Publikationsstatus	Veröffentlicht - Dez. 2024

ÖFOS 2012

605007 Digital Humanities
602051 Translationswissenschaft

Zugriff auf Dokument

10.5565/rev/tradumatica.394Lizenz: CC BY 4.0

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

The impact of Speech Synthesis on cognitive load and productivity during machine translation post-editing
Ciobanu, D. I. (Projektleiter*in)
1/03/22 → 31/12/24
Projekt: Forschungsförderung

Enhancing a PEMT Task with Speech Synthesis– Getting Inspiration from the Audio in the Audiovisual
Secara, A. (Vortragende*r), Ciobanu, D. I. (Autor*in), Rios Gaona, M. A. (Autor*in), Brockmann, J. (Autor*in), Chereji, R.-M. (Autor*in) & Plieseis, C. (Autor*in)
15 Nov. 2024
Aktivität: Vorträge › Vortrag › Science to Science

Bayesian Hierarchical Modelling for Analysing the Effect of Speech Synthesis on Post-Editing Machine Translation
Rios Gaona, M. A., Brockmann, J., Wiesinger, C. K., Chereji, R.-M., Secara, A. & Ciobanu, D. I., 24 Juni 2024, Proceedings of the 25th Annual Conference of the European Association for Machine Translation: Volume 1: Research And Implementations & Case Studies. Allschwil: European Association for Machine Translation, Band 1. S. 455-468
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Open Access

Zitationsweisen

@article{37087d55482e4a78b92237555759ef3e,

title = "The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators{\textquoteright} cognitive effort, productivity, quality, and perceptions",

abstract = "This eye-tracking experiment investigates the impact of text-to-speech (TTS) alongside translation and post-editing machine translation (PEMT) experience on translators{\textquoteright} cognitive effort, productivity, quality, and perceptions during PEMT from English intoGerman. TTS substantially lowered PEMT speed and target text mean fixation duration, and increased source and target text fixation counts and dwell time. TTS had no substantial effect on edit distance ortarget text quality. Experience had no substantial effect. 14 out of 21 participants preferred post-editing with TTS.",

keywords = "post-editing, text-to-speech (TTS), PEMT experience, translation productivity, Machine Translation",

author = "Ciobanu, \{Dragos Ioan\} and \{Rios Gaona\}, \{Miguel Angel\} and Alina Secara and Justus Brockmann and Raluca-Maria Chereji and Claudia Plieseis",

year = "2024",

month = dec,

doi = "10.5565/rev/tradumatica.394",

language = "English",

pages = "323--354",

journal = "Revista Tradum{\`a}tica",

issn = "1578-7559",

publisher = "Universitat de Barcelona, Servei de Publicacions",

number = "22",

}

The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions. / Ciobanu, Dragos Ioan ; Rios Gaona, Miguel Angel ; Secara, Alina et al.
in: Revista Tradumàtica, Nr. 22, 12.2024, S. 323-354.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

TY - JOUR

T1 - The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions

AU - Ciobanu, Dragos Ioan

AU - Rios Gaona, Miguel Angel

AU - Secara, Alina

AU - Brockmann, Justus

AU - Chereji, Raluca-Maria

AU - Plieseis, Claudia

PY - 2024/12

Y1 - 2024/12

N2 - This eye-tracking experiment investigates the impact of text-to-speech (TTS) alongside translation and post-editing machine translation (PEMT) experience on translators’ cognitive effort, productivity, quality, and perceptions during PEMT from English intoGerman. TTS substantially lowered PEMT speed and target text mean fixation duration, and increased source and target text fixation counts and dwell time. TTS had no substantial effect on edit distance ortarget text quality. Experience had no substantial effect. 14 out of 21 participants preferred post-editing with TTS.

AB - This eye-tracking experiment investigates the impact of text-to-speech (TTS) alongside translation and post-editing machine translation (PEMT) experience on translators’ cognitive effort, productivity, quality, and perceptions during PEMT from English intoGerman. TTS substantially lowered PEMT speed and target text mean fixation duration, and increased source and target text fixation counts and dwell time. TTS had no substantial effect on edit distance ortarget text quality. Experience had no substantial effect. 14 out of 21 participants preferred post-editing with TTS.

KW - post-editing

KW - text-to-speech (TTS)

KW - PEMT experience

KW - translation productivity

KW - Machine Translation

UR - https://www.scopus.com/pages/publications/85216180582

U2 - 10.5565/rev/tradumatica.394

DO - 10.5565/rev/tradumatica.394

M3 - Article

SN - 1578-7559

SP - 323

EP - 354

JO - Revista Tradumàtica

JF - Revista Tradumàtica

IS - 22

ER -

The impact of using text-to-speech (TTS) in post-editing machine translation (PEMT) workflows on translators’ cognitive effort, productivity, quality, and perceptions

Abstract

ÖFOS 2012

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

The impact of Speech Synthesis on cognitive load and productivity during machine translation post-editing

Aktivitäten

Enhancing a PEMT Task with Speech Synthesis– Getting Inspiration from the Audio in the Audiovisual

Publikationen

Bayesian Hierarchical Modelling for Analysing the Effect of Speech Synthesis on Post-Editing Machine Translation

Zitationsweisen