Research on Application of Data Mining in Virtual Community of Foreign Language Learning

The construction of virtual community in foreign language learning is a comprehensive foreign language learning environment integrated with foreign language vocabulary database construction and vocabulary retrieval, combining the virtual reality technology to construct the language environment of foreign language learning. The virtual community of foreign language leaming can improve the sense of language authenticity in foreign language learning and improve the quality of foreign language teaching. A method of building a virtual community for foreign language learning is proposed based on data mining technology, data acquisition and feature preprocessing model for building semantic vocabulary of foreign language learning is constructed, the linguistic environment characteristics of the semantic vocabulary data of foreign language learning is analyzed, and the semantic noumenon structure model is obtained. Fuzzy clustering method is used for vocabulary clustering and comprehensive retrieval in the virtual community of foreign language learning, the performance of vocabulary classification in foreign language learning is improved, the adaptive semantic information fusion method is used to realize the vocabulary data mining in the virtual community of foreign language learning, information retrieval and access scheduling for virtual communities in foreign language learning are realized based on data mining results. The simulation results show that the accuracy of foreign language vocabulary retrieval is good, improve the efficiency of foreign language learning.

情境、意向、表达行为——表达方式探微

本文讨论的是表达类言语行为的语境实现问题。表达类言语行为是J. R. Searle 言语行为类别的重要组成,是人际交际的重要方式之一。作者通过对经典理论的考察,发现Searle关于心理状态性质的定义和实际情境中的情况并不完全一致。笔者认为,心理状态从来就是一个情境的范畴,从情境获得,又受到情境的制约。情境的信息是表达行为及其互动合理性、合适性和有效性的解释依据。