What technology is used for real-time language translation? 🔊
The technology used for real-time language translation primarily relies on natural language processing (NLP) and machine translation systems. These technologies, represented by tools like Google Translate and DeepL, analyze text nuances and convert it into the target language almost instantly. Advances in AI have improved the accuracy of translations, allowing for conversational applications in chatbots and voice assistants. Such tools enhance communication across diverse linguistic backgrounds, making global interaction seamless.
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