Keeping an eye on the UI design of Translation Memory

O’Brien, Sharon; O’Hagan, Minako; Flanagan, Marian

doi:10.1145/1962300.1962338

Cited by 9 publications

(2 citation statements)

References 4 publications

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“…Second, it is wellknown in the localization industry, and many company-specific quality evaluation models have been derived from it (Doherty et al, 2013, p. 4;O'Brien, 2012, p. 3); this increases the validity of the model. Third, it was used in the previous studies (De Almeida & O'Brien, 2010;Guerberof, 2009Guerberof, , 2012O'Brien, O'Hagan, & Flanagan, 2010) to measure postediting quality.…”

Section: Qualitymentioning

confidence: 99%

Postediting machine translation output: subject-matter experts versus professional translators

Temizöz

2016

Perspectives

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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 thatboth for the engineers and the professional translatorsexpertise and experience in the subject matter are important factors determining postediting quality.

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Section: Qualitymentioning

confidence: 99%

Postediting machine translation output: subject-matter experts versus professional translators

Temizöz

2016

Perspectives

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show abstract

“…More generally, translation process research has started to ask questions about the usability and suitability of these tools for the translation process. One small study looked at the 'concordance feature' in a translation memory interface using eye tracking as an instrument of measurement (O'Brien et al 2010). Drawing on the domain of human-computer interaction, another study investigated the topic of machine translation in the translator's workplace and noted how translators often see machine translation as a black box, which removes them from the task of translation and diminishes its collaborative nature (Karamanis et al 2011).…”

Section: Language Technologymentioning

confidence: 99%