Machine translation has come a long way in recent years, with the development of neural machine translation and deep learning systems. These advancements have allowed machine translation programs to produce more accurate and natural-sounding translations than ever before. Professional translators can even use these tools to improve their own productivity, by using them as a starting point for their translations and then post-editing the output to ensure accuracy and fluency.
However, despite these advances, machine translation is still not able to match the accuracy and reliability of a human translator in all cases. Human translators have a deep understanding of the source and target languages, as well as the cultural context of the translation. They are able to make nuanced decisions about word choice, tone, and style that a machine translation program is currently unable to replicate. Additionally, human translators are able to handle the subtleties and complexities of human language, such as idiomatic expressions, metaphors, and cultural references, that can cause problems for machine translation.
Machine translation is a powerful tool that can be used to quickly and efficiently translate large volumes of text. However, it is important to keep in mind that it is not a replacement for human translators, but rather a complement to their work. Human translators bring a level of expertise and understanding to a translation that is currently unmatched by machine translation programs. As such, it is likely that human translators will continue to play an important role in the translation industry for the foreseeable future.