Postediting machine translation output: subject-matter experts versus professional translators.
This study compares the quality of postediting performed by subject-matter experts as opposed to professional translators. A total of 10 professional translators and 10 engineers postedited a 482-word technical text pre-translated from English into Turkish using data-based machine translation system...
| Publicado en: | Perspectives: Studies in Translatology Vol. 24; no. 4; pp. 646 - 666 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Dec2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=118173503&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 118173503 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0907676X S2F jtl: Perspectives: Studies in Translatology issn: 0907676X maglogo: N pubinfo: dt: Dec2016 vid: 24 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 118173503 10.1080/0907676X.2015.1119862 ppf: 646 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Postediting machine translation output: subject-matter experts versus professional translators. aug: au: Temizöz, Ö. affil: Intercultural Studies Group, Universitat Rovira i Virgili, Tarragona, Spain School of Languages, Kocaeli University, Kocaeli, Turkey su: Editing Translating & interpreting Translating of English language Turkish language Translators Computer network resources sug: subj: Editing Translating & interpreting Translating of English language Turkish language Translators Computer network resources keyword: LISA QA Model 3.1 machine translation postediting quality professional translators subject-matter experts technical translation ab: This study compares the quality of postediting performed by subject-matter experts as opposed to professional translators. A total of 10 professional translators and 10 engineers postedited a 482-word technical text pre-translated from English into Turkish using data-based machine translation system, Google Translate. The findings suggest that, for this particular task (technical translation), translators’ and engineers’ postediting quality is similar as far as the categories of mistranslation, accuracy, and consistency are concerned. Engineers performed significantly better than translators only in the terminology category. In the language category, translators made significantly fewer (minor) errors than engineers. The qualitative data analysis revealed that, for this particular task, a degree in translation does not directly correlate with postediting quality, unless it is combined with subject-matter knowledge and professional experience in translation. Finally, the present study indicates that – both for the engineers and the professional translators – expertise and experience in the subject matter are important factors determining postediting quality. 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: 2016 holdings: @attributes: islocal: N |
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