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Arabic Idioms in NMT Challenges by Sulieman Awad is a document available to read on EtoBox.
The research investigates the challenges faced by Neural Machine Translation (NMT) systems in translating Arabic idiomatic expressions into English, using examples from three Arabic novels. It analyzes 474 translations generated by NMT platforms, revealing a success rate of only 33%, with significant issues such as unwanted literal translations and unjustified omissions. The study highlights the complexity of idiomatic expressions and the cultural nuances that complicate their translation, emphasizing the n
- Author
- Sulieman Awad
- Language
- EN