Liu Jingpeng

Due to the gradual improvement of friendly relations between Russia and China, the linguistic landscape is becoming increasingly important for those who travel, study or invest in terms of creating a first impression of visiting Russia. However, the quality of translation is different. There are still a relatively large number of errors; mostly these are mixed errors and incorrect spelling. The aim of the article is to analyze and correct some of the errors, as well as to find an optimal method of translation in accordance with the linguistic landscape.

At the moment, Russia and China witness the best period of their relations, and more and more directions to cooperate emerge in the field of humanitiеs. The linguistic landscape of the Chinese and Russian languages is one of the most important aspects of such cooperation. The present article examines the trends in the development of the linguistic landscape research in the Chinese language from 1987 to 2019. Recently, in China research into the linguistic landscape has been carried out through the use of sociolinguistics and translation techniques. The theoretical basis of the research is rather poor since it lacks innovation and creativity. The issue becomes especially acute when it comes to the linguistic landscape in a two­way Chinese­Russian translation. The purpose of this article is to demonstrate the results of the linguistic landscape research in China in order to present a new perspective on the linguistic landscape to Russian students, thereby increasing the number of works on this issue for the Russian and Chinese languages.

Language is the main tool for information exchange since we are in the era of global information. How to effectively use modern methods to break through the language barriers between us has become an important problem for all mankind, and machine translation has become one of the powerful means of automatic translation between different languages. However, due to the extreme complexity of any natural language, machine translation has also become one of the problems of the present-day science and technology. Translation activity in the digital age is a complex system of heterogeneous interactions within the “man — smart machine (AI)” tandem [Garbovsky, Kostikova, 2019: 3]. This article mainly introduces the history and current situation of Chinese machine translation, discusses the difference between machine translation and human translation, and explains how practicing translators and learners should deal with the arrival of the era of artificial intelligence translation and sort out the relationship between the two. Facing the strong competition of artificial intelligence translation, many people are worried about the development and prospects of translation majors in universities and even foreign language majors. Through the research and exploration of the current state of affairs in the field of translation studies in China, this article points out the shortcomings of translation teaching in China. It also predicts the employment field of “future translators” (graduates).

Following the rapid development of artificial intelligence (AI) technologies, the translation industry has undergone unprecedented changes. AI technologies have not only transformed translation methods, but also put forward new requirements for translators’ professional competencies. This paper discusses the content of translation competencies and the ways of their transformation in the AI era, analyzes new aspects of translation skills, and proposes a training model representing the synergy of technology and humanities in order to train new, comprehensive translation professionals to meet the requirements of the era.