- Tytuł:
- Differentiating between machine translation and student translation: red flags and salient lexicogrammatical features.
- Autorzy:
- Innes, Andrew Richard Burns
- Powiązania:
- https://bibliotekanauki.pl/articles/605842.pdf
- Data publikacji:
- 2019
- Wydawca:
- Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
- Tematy:
- SFL, machine translation, detection, student essays.
- Opis:
-
Der Band enthält die Abstracts ausschließlich in englischer Sprache.
ABSTRACTMachine translation enables students to produce work in the target L2 which may be superior to that which they could produce otherwise. The present study examines whether use of machine translation can be detected by teachers. Seventeen native teachers compared and assessed the authorship of five human translations (HT) and five machine translations (MT) of Japanese news stories. Native teachers were able to accurately detect the difference in 74.04% of cases due to increased passive clauses (a ratio of 1 to 2.5), and inappropriate pronoun use (a ratio of 1 to 6.5) when MT was used.
L'article contient uniquement les résumés en anglais. - Źródło:
-
Lublin Studies in Modern Languages and Literature; 2019, 43, 4
0137-4699 - Pojawia się w:
- Lublin Studies in Modern Languages and Literature
- Dostawca treści:
- Biblioteka Nauki
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- odwiedzone