What are the main challenges faced by machine translation systems in accurately translating idiomatic expressions and cultural nuances?
How do neural machine translation models, such as those using transformer architectures, differ from traditional statistical or rule-based translation methods?
In what ways can context-aware translation improve the quality of language translation in both written and spoken communication?
How can human translators and machine translation tools complement each other in fields that require high precision, such as legal or medical translation?
What are the ethical considerations in language translation, particularly in ensuring translations are free from bias and accurately represent the source material?
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