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What AI advancements or breakthroughs are required for AI language translators to surpass professional human translators, and how long is it estimated to take for this to become a reality

Advancements in AI technology have the potential to significantly improve the accuracy and efficiency of language translation services. One key breakthrough that is required for AI language translators to surpass professional human translators is the development of more advanced natural language processing (NLP) systems that can better understand the nuances and complexities of human language. This could involve improvements in machine learning algorithms, as well as the creation of larger and more diverse datasets for training AI models.

Another important area of development is the use of neural machine translation (NMT), which involves training AI models on large amounts of bilingual text data to learn how to translate between languages. NMT has already shown significant promise in improving the accuracy of AI language translation, but further advancements in this area will be necessary for AI to rival the skills of professional human translators.

It is difficult to estimate exactly how long it will take for AI language translators to surpass human professionals, as this will depend on a variety of factors such as the pace of technological development and the level of investment in AI research. However, some experts believe that major breakthroughs in AI language translation could occur within the next decade, potentially leading to significant advancements in the field of language services.

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