Risks and Functional Limitations of AI-Based Machine Translation in English–Arabic Healthcare Communication: A Conceptual Research Note
Risks and Functional Limitations of AI-Based Machine Translation in English–Arabic Healthcare Communication: A Conceptual Research Note
This research note develops a risk-oriented analytical framework for evaluating AI-generated English–Arabic healthcare translation, focusing on terminological accuracy, pragmatic adequacy, and communicative safety in high-stakes medical contexts
Linguistics/statistics & numerical data, Neural Machine Translation, lingustic, English–Arabic Translation, FOS: Languages and literature, Linguistics, Healthcare Communication, Linguistics/education, Translation Quality Assessment, AI in Healthcare
Linguistics/statistics & numerical data, Neural Machine Translation, lingustic, English–Arabic Translation, FOS: Languages and literature, Linguistics, Healthcare Communication, Linguistics/education, Translation Quality Assessment, AI in Healthcare
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!