Investigation and Research on Trademark Translation Based on Big Data

• Published in: Journal of physics. Conference series Vol. 1648; no. 2; pp. 22146 - 22149
• Main Author: Zhao, Lijin
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.10.2020
• Subjects: Big Data; Consumer Preferences; Physics; Promotional products; Sales; Statistical analysis; Statistical Methods; Trademark Translation; Trademarks
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1648/2/022146

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.