Computer-assisted translation (CAT) tools, translation memory, and literary translation

Youdale, Roy; Rothwell, Andrew

doi:10.4324/9781003273417-28

Cited by 7 publications

(3 citation statements)

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“…Process studies by Claudine Borg (2022) and Roy Youdale (Youdale & Rothwell 2022) illustrate the variety of literary translators' processes. The translator in Borg's study, Toni Aquilina, relied on a print copy of the source text and wrote his first draft by pencil; while revising the translation in a word processing environment, he also printed out versions and read them aloud (Borg 2022: 70-104).…”

Section: Previous Research On Literary Translators' Technology Usementioning

confidence: 99%

Finnish literary translators' use of translation technology and tools: processes, profiles, and purposes

Ruokonen,

Salmi

2024

mikael

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While Translation Studies has started investigating the potential of translation technology in literary translation, the research has largely focused on optimizing product quality and bypassed the experiences of literary translators. This study contributes to filling that gap by means of a survey (n=72) and interviews (n=7) among literary translators with Finnish as a working language. Combining quantitative and qualitative analysis, we investigate what tools are used by literary translators, at what stages of the translation process, and for what purposes, and what factors are linked to technology use. We identify three types of translation processes (“from scratch”, “TM use”, and “MT post-editing”) with some individual and source-text-specific variation, and observe that translation technology use is more likely for translators who also use it for non-literary translation. The results also draw attention to literary translators’ different processes and the variety of purposes for which the different tools are used. The results have implications for publishers’ workflows, usability, and literary translators’ agency and profession.

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Section: Previous Research On Literary Translators' Technology Usementioning

confidence: 99%

Finnish literary translators' use of translation technology and tools: processes, profiles, and purposes

Ruokonen,

Salmi

2024

mikael

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“…There are other ways in which CAT tools may be beneficial for literary texts, as mentioned in Section 4.3 (see also Rothwell & Youdale, 2022). On the other hand, flagship CAT functionalities like translation memory would be expected to be of limited use for literary texts, where repetition is more likely to occur at the word level rather than at the level of entire phrases or sentences.…”

Section: Cat Tools and Literary Textsmentioning

confidence: 99%

Translating science fiction in a CAT tool: machine translation and segmentation settings

Vieira

Thurlby

Youdale

et al. 2023

The International Journal of Translation and Interpreting Resea

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There is increasing interest in machine assistance for literary translation, but research on how computer-assisted translation (CAT) tools and machine translation (MT) combine in the translation of literature is still incipient, especially for non-European languages. This article presents two exploratory studies where English-to-Chinese translators used neural MT to translate science fiction short stories in Trados Studio. One of the studies compares post-editing with a ‘no MT’ condition. The other examines two ways of presenting the texts on screen for postediting, namely by segmenting them into paragraphs or into sentences. We collected the data with the Qualititivity plugin for Trados Studio and describe a method for analysing data collected with this plugin through the translation process research database of the Center for Research in Translation and Translation Technology (CRITT). While post-editing required less technical effort, we did not find MT to be appreciably timesaving. Paragraph segmentation was associated with less postediting effort on average, though with high translator variability. We discuss the results in the light of broader concepts, such as status-quo bias, and call for more research on the different ways in which MT may assist literary translation, including its use for comparison purposes or, as mentioned by a participant, for ‘inspiration’.

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“…Previous research focused on the use of CAT tools to improve translation processes and above all, to enhance the workflow of translation tasks (Mitkov, 2022: 364). For instance, Youdale and Rothwell (2022) show how some translators use CAT tools to enhance the productivity and workflow of the process of translation of literary texts by using TMs. These authors state that in the last two years, there has been a slight shift in the attitude of some literary translators towards the use of CAT tools (Youdale and Rothwell, 2022: 383).…”

Section: Computer-assisted Translation Tools and Literary Researchmentioning

confidence: 99%

Automatic Detection of Omission in Comparative Literary Translation

Haddad Haddad

2023

Proceedings of the International Conference on Human-Informed Translation and Interpreting Technology 2023

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Omission is considered a controversial issue in translation research. On the one hand, it is regarded as one of the common translation techniques used in cases of non-equivalence or implicit conveyance of meaning. On the other hand, it may be viewed as a sign of failure of the translator to render the Original Texts (OT) properly into the Target Languages (TL). Moreover, in some cases it may be considered as a parameter of manipulation and censorship. For this reason, when carrying out comparative translation research, the detection of omission and its analysis is one of the key elements to evaluate a translation, and to gain a full understanding of the translation decisions taken by a translator. In most cases, the process of detecting cases of omission in comparative research is carried out by manually annotating the Target Text (TT) in comparison to the OT, an arduous and time-consuming task, above all in long and extensive texts, such as some literary texts. For this reason, in this casestudy, we use an alternative semi-automatic method to detect omission in translation research, and we use corpus analysis to provide results. Finally, we propose the creation of a new and more appropriate tool for the precise and automatic detection of omission, aimed at helping to obtain more results and a wider perspective in comparative literary translation studies.

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Computer-assisted translation (CAT) tools, translation memory, and literary translation

Cited by 7 publications

References 0 publications

Finnish literary translators' use of translation technology and tools: processes, profiles, and purposes

Finnish literary translators' use of translation technology and tools: processes, profiles, and purposes

Translating science fiction in a CAT tool: machine translation and segmentation settings

Automatic Detection of Omission in Comparative Literary Translation

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