![]() ![]() Nonetheless, even with heavily involving a CAT tool, matching pairs had to be reviewed in context, and non-matching pairs still needed translation. Different computer-assisted translation (CAT) tools were then developed, which significantly improved productivity. From statistical models to deep learning in translation technologyĬomputers brought enormous improvements in translation with their ability to store already translated sentences and match them with new texts to translate. The advent of computing tools in the 20th century changed everything. Finding reliable translators can be challenging, costs soar, and above all, productivity may be low-but it all used to work for centuries when no alternative solutions were available. This process can be costly and often impractical. This is known as “translation” and stands for the act of rendering text from one language to another.įor that, one would usually rely on someone else, who not only mastered both the “source” (original) language and “target” (translated) language but could also be trusted to translate the meaning of a message as it was originally intended. Since the dawn of ages-the fall of the Babel Tower, for those who believe in it-people have needed to convey ideas in languages they haven’t mastered. The evolution of machine translation technology How to use Google Translate: Best practices.Does Google Translate have any major competitors?.How do you assess Google Translate’s performance?.How Google Translate’s accuracy improved over time.From statistical models to deep learning in translation technology. ![]() ![]()
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