Author(s)

Shen Yajie ¹

Affiliation(s)

¹ Xi'an Fanyi University, Xi'an, Shaanxi, China

Corresponding Author

Shen Yajie

ABSTRACT

The progress of Artificial Intelligence brings about profound developments in Computer Aided Translation (CAT). Therefore, many language service providers use CAT tools to improve translation efficiency while ensuring quality. With people's attention to health deepening, popular medical texts are becoming mainstream. This article studies the translation of medical texts in the mode of Machine Translation and Post-editing (MTPE). The source text This Is Your Brain on Food is pre-translated by Google Translate and post-edited by the translator. Based on this practice, the Machine Translation (MT) errors are summarized, and Post-editing (PE) solutions are illustrated at the lexical level. There are MT errors about mistranslation and omission. Several PE solutions are presented in the article, which cover replacement, supplementation and conversion of part of speech. It is shown that the MTPE mode can improve the efficiency of medical translation. Post-editing can ensure the translation effect as equal as possible while faithfully conveying the original information, so as to improve the quality of the target text and assist medical development through translation.

KEYWORDS

Machine Translation, Post-editing, Medical Text

CITE THIS PAPER

Shen Yajie, Analysis of Errors at the Lexical Level in Post-editing for Medical Texts. Lecture Notes on Language and Literature (2024) Vol. 7: 176-180. DOI: http://dx.doi.org/10.23977/langl.2024.070628.

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