数字化语境下汉俄语言接触的现实、表征与发展趋势

Realities, Manifestations, and Future Trends of Chinese-Russian Language Contact in the Digital Context

摘要: 智能数字技术正在深刻改变跨语言交往的媒介环境与语言接触模式，推动汉俄语言接触由传统线下场景拓展至网络平台和智能化空间。本文以数字化语境下的汉俄语言接触现象为研究对象，基于社交媒体、短视频平台、跨境数字贸易平台以及智能翻译应用中的典型案例与多模态语料，考察数字环境中汉俄语言互动的主要表现形式、运行机制及发展趋势。研究发现，在数字化语境下，汉俄语言接触呈现出接触主体大众化、传播方式即时化、交流内容生活化以及互动路径双向化等新特征，并表现出语码混用、网络流行语跨文化传播以及技术介导型跨语言表达等新形态。进一步分析表明，数字平台、算法推荐与智能翻译工具共同构成了汉俄语言接触的人机协同运行环境。其中，数字平台拓展语言互动空间，算法机制影响信息传播路径，智能翻译工具参与语言转换与意义协商，共同推动汉俄语言接触由传统的线性传播模式向分布式、网络化的双向共创模式转变。与此同时，技术介入也带来了新的挑战。算法偏向可能影响语言表达的传播机会，机器翻译和人工智能生成文本可能造成文化语义弱化或意义偏移，高度依赖智能工具也可能导致跨文化交流趋于表层化。因此，未来汉俄语言接触将在人工智能驱动、跨语言智能交互和数字共同体构建等方向持续发展，但其演进过程需要在技术创新与语言文化多样性保护之间保持平衡。本文研究有助于拓展数字媒介环境下语言接触理论的解释范围，并为汉俄跨文化传播、外语教育数字化转型以及智能技术背景下的语言实践研究提供参考。

Abstract: Intelligent digital technologies are profoundly transforming the media environment of cross-linguistic communication and reshaping patterns of language contact, extending Chinese-Russian language contact from traditional offline contexts to networked and intelligent digital spaces. Focusing on Chinese-Russian language contact in the digital context, this study examines its major manifestations, operational mechanisms, and future development trends based on typical cases and multimodal data from social media platforms, short-video platforms, cross-border digital trade platforms, and intelligent translation applications. The findings reveal that Chinese-Russian language contact in the digital era demonstrates new characteristics, including the diversification of contact participants, the immediacy of communication modes, the everyday orientation of communication content, and the bidirectional nature of interaction pathways. It also exhibits emerging forms such as code-mixing, cross-cultural circulation of internet neologisms, and technology-mediated translingual expressions. Further analysis indicates that digital platforms, algorithmic recommendation mechanisms, and intelligent translation tools jointly constitute a human-AI collaborative environment for Chinese-Russian language contact. In this process, digital platforms expand the space for linguistic interaction, algorithmic mechanisms influence the pathways of information dissemination, and intelligent translation tools participate in language conversion and meaning negotiation. Together, these factors facilitate the transformation of Chinese-Russian language contact from a traditional linear transmission model toward a distributed, networked, and bidirectional co-creation model. Meanwhile, technological intervention also brings new challenges. Algorithmic biases may affect the visibility and dissemination opportunities of linguistic expressions, machine translation and AI-generated texts may lead to cultural semantic weakening or meaning shifts, and excessive reliance on intelligent tools may result in increasingly superficial intercultural communication. Therefore, future Chinese-Russian language contact is likely to continue evolving toward AI-driven communication, intelligent cross-linguistic interaction, and the construction of digital communities; however, this development requires a balance between technological innovation and the preservation of linguistic and cultural diversity. This study contributes to expanding the theoretical understanding of language contact in digital media environments and provides implications for Chinese-Russian intercultural communication, the digital transformation of foreign language education, and linguistic practices in the era of intelligent technologies.