Using Computers in the Translation of Literary Style

Youdale, Roy

doi:10.4324/9780429030345

Cited by 16 publications

(5 citation statements)

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“…Saldanha's (2011) definition of translator style has been particularly influential, both in our own work and elsewhere (e.g. Kenny and Winters, 2020;Youdale, 2020). For reasons outlined in Kenny and Winters (forthcoming), however, we prefer to fall back on the broader definition of style of Herrmann et al (2015, p. 44) as: a property of texts constituted by an ensemble of formal features which can be observed quantitatively or qualitatively.…”

Section: Literary Style and Translationmentioning

confidence: 97%

“…Previous corpus-based and corpus-driven studies in translator style (e.g. Baker, 2000;Saldanha, 2011;Youdale, 2020) have started, for example, by focusing on basic statistics like lexical density, average sentence length, (standardised) type-token ratios and other measures of lexical variety. These studies usually branch into richer qualitative analyses on the basis of their initial quantitative findings.…”

Section: Literary Style and Translationmentioning

confidence: 99%

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Computer-Assisted Literary Translation

Rothwell,

Way,

Youdale

2023

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Section: Literary Style and Translationmentioning

confidence: 97%

Section: Literary Style and Translationmentioning

confidence: 99%

Computer-Assisted Literary Translation

Rothwell,

Way,

Youdale

2023

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“…There have been several studies on computer-assisted literary translation (CALT), especially as to how literary translators can benefit from corpus tools and quantitative textual analyses (e.g., Youdale, 2020;Zanettin, 2017;Horenberg, 2019;Kolb & Miller, 2022). Research on the use and development of MT for literary texts is also proliferating (e.g., Hadley et al, 2019;Taivalkoski-Shilov, 2019;Toral & Way, 2015;Hansen, 2022).…”

Section: Research On Computer-assisted Literary Translationmentioning

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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“…One of the most common approaches in translation studies is comparing the original texts with their translation and/or translations to comprehend which techniques have been used and the reason behind choosing them during the translation process. This approach is called close reading (Hayles, 2007;Youdale, 2019). One of the translation techniques which researchers try to focus on and detect in their studies is omission.…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, in this paper, we propose using a combination between the close reading approach and the distant reading approach (Hayles, 2007;Moretti, 2013;Youdale, 2019) which implies the use of new technologies, such as CAT tools and corpus analysis tools to acquire new insights into more comprehensive results in translation studies. With this objective, we suggest an automatic approach to detecting omissions in literary translated works with the help of the CAT tool Trados Studio 2021.…”

Section: Introductionmentioning

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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Using Computers in the Translation of Literary Style

Cited by 16 publications

References 0 publications

Computer-Assisted Literary Translation

Computer-Assisted Literary Translation

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

Automatic Detection of Omission in Comparative Literary Translation

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