ERRORS IN MACHINE TRANSLATION OF LITERARY TEXT FROM CHINESE TO RUSSIAN (BASED ON WEB SERVICES YANDEX TRANSLATOR AND GOOGLE TRANSLATOR)

Abstract

The article presents a detailed analysis and classification of errors identified during the machine translation of literary text from Chinese into Russian. Literary translation between languages as different in grammar and structure as Chinese and Russian is a complex multi-level task and requires not only a deep understanding of grammatical and lexical structures, but also an understanding of the cultural code, historical context and stylistic features of the original. An excerpt from the work of the Chinese writer Chi Zijian is chosen as the material for the study, the work uses translations via the web Yandex Translator and Google Translator. The paper analyzes the main formal (grammatical) and semantic (stylistic and regional) errors in the text. The authors’ comments on the incorrect translation of some words and phrases are presented. Possible causes of these errors are indicated. In conclusion, the adequacy of machine translation of literary text is assessed in accordance with the criteria proposed by the Russian theory of literary translation. Conclusions are drawn about the possibilities and limits of using web applications in the process of literary text translation.