| Autor: |
KÓBOR, Márta, SZLÁVIK, Szilárd |
| Předmět: |
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| Zdroj: |
Fordítástudomány; 2024, Vol. 26 Issue 1, p152-152, 1/2p |
| Abstrakt: |
In response to the advancement of neural machine translation and market needs, the use of machine translation and post-editing is increasingly being introduced in Hungarian translation courses. However, their teaching does not yet have many tried and tested methods similar to those of human translation, use of CAT-tools or even proofreading. It is clear from international literature and training experience that one of the prerequisites of successful post-editing is the objective assessment of the MT output, namely the recognition of errors in the target language text. Our research was carried out with translation students from two Hungarian universities (ELTE and PTE) in the spring semester of the academic year 2022/23, in order to assess the potential effects identifying and raising awareness of errors in neural machine translations have on the development of critical MT use and PE (post-editing) competence. Our hypothesis is that error detection and identification exercises will make students more critical of machine translated texts and more likely to identify errors that need to be corrected during post-editing. This paper presents the first results of a qualitative, manual analysis of two exercises carried out at the beginning and the end of the semester. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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