How can advancements in Artificial Intelligence and Natural Language Processing improve real-time speech translation applications, and what are the major challenges that remain?
What role do human translators play in the process of machine-assisted translation, and how do they ensure the quality and accuracy of translations in specialized fields?
How does context-awareness in translation technology contribute to more accurate translations in complex or ambiguous language constructs?
What are the key differences between rule-based, statistical, and neural machine translation approaches, and how do they impact translation accuracy and efficiency?
How do neural machine translation models, like those used by Google Translate, handle idiomatic expressions and cultural nuances to ensure accurate translations?
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