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Understanding the Impact of Machine Learning and AI on the Translation IndustryThe rapid advancements in technology have accelerated the way things used to work before (whether industrial or personal).
The following technologies, accompanied by deep learning, mimic the human brain in many ways, despite being powered by algorithms, and hence, could not be ignored at all costs.
Long before the computers were developed commercially, the computers needed to be instructed through applications or codes about the specific function they need to do.
Deep learning is a part of AI that deals with mimicking the human brain nerves and hence can defeat even the smartest minds in their game.
When it comes to translations, there are numerous flaws in the translations carried out by machine learning algorithms.
The grammar is inappropriate, so does the content and sentence formation as the real context is missed.
Teachers should also consider creating an open space where students feel comfortable asking questions or collaborating with each other as well as sharing their ideas about how they learn best.
This will allow students greater flexibility when it comes to succeeding in this environment and understanding their learning pedagogy.
If the teacher lends them books, then it's probably best for students to read on paper.
But if the teacher prefers YouTube videos of lectures and tutorials, it might be better for his or her students to watch those on a laptop or tablet.
Teachers can also prepare students for online classes by making sure they are well versed in computer skills, such as surfing the web and using different programs including email or word processing.
This is really helpful if there is something specific you want to teach them or get across, but it’s not the only option available.