Correlating process and product data to get an insight into translation difficulty.
Research in the field of translation studies suggests that translation product features can indicate translation difficulty. In the current pilot study, we investigate three of these features, namely the number of errors made in a translation, word translation entropy and degree of syntactic equival...
| Published in: | Perspectives: Studies in Translatology Vol. 27; no. 6; pp. 924 - 942 |
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| Main Authors: | , , |
| Format: | Article |
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Taylor & Francis Ltd
Dec2019
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=138887637&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 138887637 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0907676X S2F jtl: Perspectives: Studies in Translatology issn: 0907676X maglogo: N pubinfo: dt: Dec2019 vid: 27 iid: 6 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 138887637 10.1080/0907676X.2019.1594319 ppf: 924 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.7MB tig: atl: Correlating process and product data to get an insight into translation difficulty. aug: au: Vanroy, Bram De Clercq, Orphée Macken, Lieve affil: LT 3, Language and Translation Technology Team, Ghent University, Ghent, Belgium su: Translations Pilot projects Proxy Product management software Translators sug: subj: Translations Pilot projects Proxy Product management software Translators keyword: eye tracking keystroke logging translation difficulty Translation studies user activity data ab: Research in the field of translation studies suggests that translation product features can indicate translation difficulty. In the current pilot study, we investigate three of these features, namely the number of errors made in a translation, word translation entropy and degree of syntactic equivalence. We correlate these translation product features with translation process features that can be put together into three categories: duration, revision and gaze information. These features serve as a proxy for the cognitive effort required to solve difficulties in translation. The data that we used was gathered from professional translators as well as students of translation studies. The product data contains manual error annotations of the translations, automatically calculated entropy values and syntactic re-ordering metrics. The process data are derived from keystroke and eye-tracking data gathered during the translation process. By correlating product and process data, we inspect how translation difficulty is reflected in the translation process and whether it is feasible to use product features to predict difficulties in translation. In addition, we also compare data of professional translators and students. We will show that correlations between process and product features exist, which opens many doors to further research on translatability. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Perspectives: Studies in Translatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Perspectives: Studies in Translatology holder: Taylor & Francis Ltd dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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