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The Frontiers of Society, Science and Technology, 2022, 4(3); doi: 10.25236/FSST.2022.040308.

Research on Neural Network Post-Translation Editing——Take Goggle Translation of To Live as an Example


Zhang Yuanyi

Corresponding Author:
Zhang Yuanyi

Southwest Petroleum University, Chengdu, China


From the perspective of category conversion theory, this paper studies the post-translation editing of neural network translation by taking the English version of To Live translated by Google as an example. The study found that Goggle can basically complete the language category conversion, but it applies the word-to-word translation method to most of the non-linguistic category conversion, making the translation confusing. Therefore, in post-editing, the translator should consider the cultural background of the target language and select the category prototype in line with the cognition of the target readers; in the process of vacancy category conversion, the translator should select the translation methods such as the conversion of similar categories to improve the reading experience of the target readers.


neural network machine translation; post-editing; category conversion; To Live

Cite This Paper

Zhang Yuanyi. Research on Neural Network Post-Translation Editing——Take Goggle Translation of To Live as an Example. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 3: 37-43. https://doi.org/10.25236/FSST.2022.040308.


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