Neural machine translation and human translation

Abstract

Abstract By comparing the Chinese, English and French versions of “Exhortations of Learning” and “On Building a Human Community with a Shared Future,” translated by human translators and the neural machine translation systems respectively, this essay finds out that human translators have addressed the political and ideological factors more tactfully while the working mechanism of the neural machine translation system lacks the formers’ judgment, consideration, flexibility and subjectivity. Moreover, unlike human translators, the neural machine system is not capable of activities such as summarizing the source texts, making comments or annotating. But on the other hand, the neural machine translation system has the advantages of its own. Not affected by bias like human translators, it could perform the translation faster and with a rather objective stance. All in all, there is still a long way to go before it can reveal the political and ideological factors in ways as human translators can achieve.