Measured and perceived effort: assessing three literary translation workflows

Paola Ruffo; Joke Daems; Lieve Macken

doi:10.5565/rev/tradumatica.378

Measured and perceived effort: assessing three literary translation workflows

Paola Ruffo, Joke Daems, Lieve Macken

Italian

Research output: Contribution to journal › Article › peer-review

Abstract

Professional literary translators were asked to translate three short stories using MS Word, Trados Studio 2022, and a proprietary machine translation postediting platform. This article compares measured and perceived temporal, technical, and cognitive effort across the three workflows. Data was collected via questionnaires, keylogging, and screen capturing.

Original language	English
Pages (from-to)	238-257
Number of pages	20
Journal	Revista Tradumatica
Volume	22
Early online date	20 Dec 2024
DOIs	https://doi.org/10.5565/rev/tradumatica.378
Publication status	E-pub ahead of print - 20 Dec 2024

Keywords

computer-aided literary translation
computer-aided translation
keylogging
literary machine translation
literary translation
machine translation post-editing
user testing

Access to Document

10.5565/rev/tradumatica.378Licence: CC BY

Ruffo_2024_Measured-perceived_CC
Copyright © 2024 the Authors. This article is published in Open Access under the Creative Commons Attribution license, which allows use, distribution, and reproduction in any medium, without restrictions, as long as the original work is correctly cited.
Final published version, 649 KBLicence: CC BY

Cite this

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title = "Measured and perceived effort: assessing three literary translation workflows",

abstract = "Professional literary translators were asked to translate three short stories using MS Word, Trados Studio 2022, and a proprietary machine translation postediting platform. This article compares measured and perceived temporal, technical, and cognitive effort across the three workflows. Data was collected via questionnaires, keylogging, and screen capturing.",

keywords = "computer-aided literary translation, computer-aided translation, keylogging, literary machine translation, literary translation, machine translation post-editing, user testing",

author = "Paola Ruffo and Joke Daems and Lieve Macken",

note = "Funding: This project has received funding from the European Union Horizon Europe (HORIZON) research and innovation programme under the Marie-Curie grant agreement No 101062428.",

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N1 - Funding: This project has received funding from the European Union Horizon Europe (HORIZON) research and innovation programme under the Marie-Curie grant agreement No 101062428.

PY - 2024/12/20

Y1 - 2024/12/20

N2 - Professional literary translators were asked to translate three short stories using MS Word, Trados Studio 2022, and a proprietary machine translation postediting platform. This article compares measured and perceived temporal, technical, and cognitive effort across the three workflows. Data was collected via questionnaires, keylogging, and screen capturing.

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KW - keylogging

KW - literary machine translation

KW - literary translation

KW - machine translation post-editing

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ER -

Measured and perceived effort: assessing three literary translation workflows

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

DUAL-T User Testing Dataset & DUAL-T Pre- and Post-Task Questionnaires & Questionnaire Results

Cite this

Measured and perceived effort: assessing three literary translation workflows

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Datasets

DUAL-T User Testing Dataset & DUAL-T Pre- and Post-Task Questionnaires & Questionnaire Results

Cite this