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How has Google Translate improved its accuracy and functionality over time

Google Translate has improved its accuracy and functionality over time through advances in machine learning and neural network technology. In 2016, Google introduced the GNMT (Google Neural Machine Translation) model, which uses deep neural networks to improve the quality of translations for over 100 languages. This has resulted in more fluent and accurate translations, as well as better handling of idiomatic expressions and colloquial language. Additionally, Google Translate has evolved from supporting just two languages to 103, making it more accessible to users around the world. The tool has also become more robust to machine translation hallucination, a phenomenon in which AI models produce strange translations when given nonsense input. Overall, these improvements have made Google Translate a more reliable and effective tool for language translation.

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