- Title:
Research on Improving the Quality of Spanish Translation for College Students in the Context of Big Data
- Name:
Feng LI, Yuhan Zhao
- Company:
Polytechnic University of Valencia, Spain, Valencia,46022
- Abstract:
With the advent of the big data era, the demand for Spanish translation is increasing, and Spanish majors in universities are facing the challenge of improving their translation abilities. This study focuses on improving the quality of Spanish translation for college students in the context of big data. Firstly, it analyzes the translation needs and challenges in the era of big data, including the characteristics of large data volume, diversity, high real-time requirements, increased cross lingual and interdisciplinary demands, as well as improved professional and accuracy requirements. On this basis, the translation ability requirements faced by Spanish majors in the era of big data were discussed, as well as how to cope with these challenges. A series of strategies have been proposed to improve translation quality in response to research issues, including the use of big data analysis, machine translation assistance, translation quality evaluation, interdisciplinary integration, practice oriented, data-driven teaching, and connecting practical applications. These strategies aim to help college students better adapt to the translation needs of the big data era, and enhance their translation abilities and levels. Through this study, theoretical support and practical guidance can be provided for the innovation and development of Spanish translation education, promoting the combination of translation talent cultivation and practical application.
- Keyword:
Big data; College students; Spanish; Translation quality; Quality improvement;
- DOI:
10.12250/jpciams2024090308
- Citation form:
Feng LI.Research on Improving the Quality of Spanish Translation for College Students in the Context of Big Data [J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.33-36
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