Improvement of automatic translation engines: Automatic translation engines, such as the one promoted by Alphabet (Google), are becoming increasingly sophisticated thanks to the use of machine learning techniques and neural networks.

These advances allow automatic translation engines to provide more accurate and natural translations.

Increased productivity: Computer-assisted translation tools (CAT) help facilitate the work of translators by providing them with translation suggestions, storing translation memories, automating some tasks (including quality management), and improving their overall productivity.

Personalization of translations: AI systems also allow translations to be customized based on user preferences, such as the style and terminology used.

Real-time translation: AI systems sometimes allow for real-time translation, which is particularly useful for real-time international communication activities, such as conferences and meetings.

Translation of multimedia content: AI is also used to translate multimedia content such as videos, images, and audio files, thus offering opportunities for multilingual communication in new areas.

In short, translation will not escape the progress of artificial intelligence, even though the added value of human input remains crucial, especially for the perception of underlying ideas, emotions, etc. »

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