Research on optimizing the translation and dissemination path of contemporary Chinese literature driven by big data
大数据驱动的中国当代文学对外翻译与传播路径优化研究

摘要

全球化和数字化的迅猛发展同时，中国的当代文学对外的译介也由此进入了一个崭新的生态格局，大数据的兴起已经悄然地渗透到译介的各个环节，将其推向了前所未有的历史发展大潮中。因此，集中大数据在文学翻译、市场推广等关键环节的应用，收集读者反馈、文化适配方面的数据，结合已有的研究成果和实际案例，分析数据驱动的模式怎么打破传统译介遇到的瓶颈。借此，精准翻译模型的搭建改变传统单一传播策略。通过分析大数据让文学传播效率与影响力有所上升的核心逻辑，对当下存在的技术壁垒、文化折扣等问题，也给出了一些对策建议，对中国当代文学的国际传播有一定帮助，能提供些理论上的参考和实际操作的方向。

Abstract

Along with the rapid development of globalization and digitalization, the overseas translation and introduction of contemporary Chinese literature has thus entered a brand-new ecological landscape. The rise of big data has quietly permeated all links of translation and introduction, propelling it into an unprecedented historical tide of development. Therefore, this research focuses on the application of big data in key links such as literary translation and market promotion, collects data regarding reader feedback and cultural adaptation, and combines existing research findings and practical cases to analyze how the data-driven model breaks the bottlenecks encountered in traditional translation and introduction. In this way, the construction of an accurate translation model transforms the traditional single communication strategy. By analyzing the core logic behind the improvement of literary communication efficiency and influence through big data, this research also puts forward countermeasures and suggestions for the current problems such as technical barriers and cultural discount. It provides certain support for the international communication of contemporary Chinese literature, as well as theoretical references and practical directions for its implementation.