http://dspace.bsu.edu.ru/handle/123456789/60146| Title: | English-Indonesian crisis translation: accuracy and adequacy of Covid-19 terms translated by three MT tools |
| Authors: | Nugraha, D. S. Dewanti, R. |
| Keywords: | linguistics applied linguistics machine translate crisis translation COVID-19 terms Google Translate Bing Systran |
| Issue Date: | 2022 |
| Citation: | Nugraha, D.S. English-Indonesian crisis translation: accuracy and adequacy of Covid-19 terms translated by three MT tools / D.S. Nugraha, R. Dewanti // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2022. - Т.8, №1.-С. 122-134. |
| Abstract: | This study focuses on one basic question: how accurate and adequate are the three MT tools, namely Google Translate, Bing and Systran, in generating Covid-19 terms? It measures mainly the accuracy and adequacy of Covid-19 terms translated by three popular MT tools between English and Indonesian. Data analysis is conducted manually through human evaluation toward translation products by using a translation rubric |
| URI: | http://dspace.bsu.edu.ru/handle/123456789/60146 |
| Appears in Collections: | Т. 8, вып. 1 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Nugraha_English-Indonesian.pdf | 2.97 MB | Adobe PDF | View/Open |
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