DeepL towards Teaching Translation: A Help or A Threat?

Through the advancement of technology, machine
translation (MT) which uses natural language processing
has become an indispensable tool for language learners,
educators, and professionals. Additionally, in recent years,
the shift of MT to end-to-end neural machine translation
(NMT) has achieved great success and has become the
new mainstream method in practical MT systems (Tan et
al., 2020). NMT has a very vague connection to neurons
or to the way people’s brains (or translators’ brains) work
or in simpler way it uses artificial neural networks as like
how people think and solve the problem (Forcada, 2017).