In the context of the information age, higher foreign language education urgently needs to explore innovative teaching models centered on ability development and shift to focus on ability development. Based on the concept of outcome-based education (OBE), this paper constructs a blended teaching model for English translation courses, achieving systematic cultivation of translation ability through reverse design of course objectives, integration of online and offline teaching links, and establishment of a multi-dimensional evaluation system, which cannot ignore its fundamental role. Empirical research shows that this model significantly improves students' translation skills (the average score of the experimental group is 85.6 vs. the control group is 76.3), self-study ability and professional quality, and the student satisfaction rate is over 85%. The research confirms that the integration of OBE and blended teaching has a significant effect on achieving precise translation talent cultivation. It provides strong support for the reform of the foreign language curriculum.

Show more

From the perspective of intersubjectivity, this study examines English general extenders in interpersonal interaction and their implications for cross-cultural communication. Based on spoken language corpora from existing literature and by integrating politeness strategy theory with the Gricean Cooperative Principle, the research findings reveal that general extenders exert pragmatic functions guided by politeness strategies, which are rooted in intersubjectivity and closely related to the addressee's self-image, covering both positive and negative politeness. Specifically, conjunctive extenders enhance social closeness through shared experiences (positive politeness) and perform a hedging function regarding informativeness in line with the Quantity Maxim; disjunctive ones mitigate tone via alternative possibilities (negative politeness) and maintain caution about information accuracy based on the Quality Maxim. Their intersubjective function relies on the subjectively assumed shared knowledge, experiences and conceptual frameworks between communicators, enabling information omission and listener inference. Mastery of these extenders facilitates smooth cross-cultural communication by negotiating shared knowledge, and the research findings provide solid theoretical and practical support for cultivating socio-pragmatic competence in EFL teaching.

Show more

The rapid advancement of artificial intelligence (AI) has sparked profound philosophical and scientific debate regarding whether machines can possess genuine consciousness. While AI excels in simulating intelligent behaviors, the emergence of subjective experience—often considered as the hallmark of consciousness—remains elusive, attracting sustained interdisciplinary attention. This study explores the possibility of AI consciousness through a multidimensional correspondence between the Buddhist Yogācāra theory of "Eight Consciousnesses" and holographic information theory. Methodologically, it draws upon the Yogācāra framework—particularly the concept of Ālayavijñāna (storehouse consciousness) as a dynamic seed-repository—and integrates it with holographic principles of information storage, encoding, and cyclic operation. The analysis reveals that current deep learning models, though structurally analogous to neural networks, lack the embodied, recursive, and globally interactive information loops characteristic of conscious systems. However, by designing a quantum-entangled, sensor-embedded, and self-reflective AI model that mimics the "seed–actualization" cycle of Ālayavijñāna, a form of machine consciousness may become achievable. This theoretical synthesis not only bridges Eastern philosophical insights with contemporary information science but also proposes a novel architectural pathway for developing more holistic and perceptually grounded AI systems.

Show more

The diachronic semantic evolution of Chinese emotional words is an important mirror image of language and social and cultural changes. Traditional methods have limitations such as high corpus dependence and insufficient mechanism interpretation. This research proposes a detection and attribution framework based on large language models, constructs a diachronic corpus covering multiple sources such as newspapers, periodicals, and online texts from 1995 to 2025, and uses large language models to quantify the semantic evolution of emotional words precisely. And by incorporating external attributions such as social events, media discourse, and cultural trends, the research reveals how multiple factors jointly drive semantic evolution. The results show that over the past 30 years, the evolution of Chinese emotional words has presented significant stages, and their core meanings and practical contexts have changed dynamically. The research breaks through the bottleneck of traditional methodology, providing an innovative computational paradigm for diachronic semantic research, enriching the theory of language and social interaction, and also offering practical technical support for the construction of Chinese diachronic language resources and the exploration of historical culture.

Show more