Abstract

Trademark translation is a cross-cultural communication activity, which is an important factor in the sales of import and export commodities. Due to the different cultural backgrounds of different nationalities, we need to translate trademarks according to different cultural connotations of big data. Good brand translation can help local residents understand the goods, which can promote the sales of goods. The translation of trademarks can be more standardized through big data. So, the computer trademark translation plays a very important role, which can help enterprises achieve more accurate marketing purposes. However, there is a lack of systematic research on computer trademark translation in China. Therefore, this paper makes a statistical analysis of trademark translation methods based on big data. Then, through the questionnaire, this paper analyzes the consumers’ preference for the translated name, which can be used to seal the promotional products. Finally, this paper expounds the trend of trademark translation.

Details

Title
Investigation and Research on Trademark Translation Based on Big Data
Author
Zhao, Lijin 1 

 School of Foreign Languages, Yulin University, China, 719000 
Publication year
2020
Publication date
Oct 2020
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2571072299
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.