How do professional human translators and automated translation tools complement each other in achieving high-quality, nuanced translations for complex documents?
In what ways can translation services be improved to better accommodate lesser-spoken or endangered languages, and what role do AI and machine learning play in this process?
How does context affect the quality of translation, and what methods are used to ensure that context is correctly interpreted in automated translation systems?
What are the primary challenges in accurately translating idiomatic expressions or culturally specific terms between languages?
How do neural machine translation systems, like those used in Google Translate, differ from traditional rule-based translation systems in terms of performance and language accuracy?
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