Academic Translation Education and Knowledge of Translation Sub-Competence
Translation apps available in the market, such as DeepL and Google, smart keyboards capable of translating and related software have been produced to meet the current needs in the world. Yet the artificial intelligence has not replaced the human translator with emotional and creative intelligence. O...
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| Format: | Article |
| Language: | deu |
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Istanbul University Press
2021-12-01
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| Series: | Studien zur Deutschen Sprache und Literatur |
| Subjects: | |
| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/31042B9AF880457D9804B0C0AE9A5C17 |
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| Summary: | Translation apps available in the market, such as DeepL and Google, smart keyboards capable of translating and related software have been produced to meet the current needs in the world. Yet the artificial intelligence has not replaced the human translator with emotional and creative intelligence. On the contrary, the importance of translators as individuals has grown and the content of the academic translator training is to be altered accordingly. This study is based on the assumption that the translation approach dependent on the scientific knowledge directly shapes the translation as a product. The parameters to evaluate translation are complex and interwoven. Although the translation sub-competence is an elementary part of the translation competence, it is still underresearched. (Eser, 2015). Thus, this article aims to analyze translation sub-competence with a specific focus on translation approach and to construct a scale to be applied in the German-Turkish language pair. The conceptual framework is based on Researching Translation Competence (2017) by the PACTE team which conducts advanced research on the acquisition of translation competence. The translation approach of undergraduates of the Translation and Interpreting Studies B.A. Program and the German Language and Literature B.A. Program at Ege University have been observed, a survey focusing on the sub-competence of translation which evaluates the translation competence of the participants pursuant to the concepts of dynamic – static (Albir, 2017; Albir et al. 2020) accordingly, the data acquired has been analyzed with IBM SPSS Statistics 25 and the deductions have been examined. A pivotal problem in translator training has been detected and a scale to be applied has been developed within the scope of the study which is based on an activity research pattern. |
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| ISSN: | 2619-9890 |