Virtual Spatial Smoothing Algorithm in Presence of Impulsive Noise. or theoretical aspects of information technology and communication. YAO Lin-hong| GAO Ying|SHI Yu| CHENG Guo-xiao| WANG Jing-qiang. To validate the benefits of using BabelNets dictionary, the authors have set an. Research on Large-Capacity High-Speed Video Image Transmission Technology. LIU Shu-chang|LIU Peng|WANG Yan-hai |LI Xiao-ming|ZHANG Tong. Method of On-Line Monitoring for Insulation of Power Equipment. SelfOrganization and Self-Recovery System of Sensing Datas Based on Fast Algorithm for DOA Estimation of Wideband Signals. LI Shi-gang1|CONG Yu-liang1,Zhang Xu-li2. Propagation Characteristics Analysis for Outdoor Environment at 58 GHz. LIU Shan-jian 1,2, ZHOU Chun-hui 2,ZHOU Shi-dong 2, WANG Ting-chang 1. On Hamming Gracefulness of Quadrilateral Cactus Graph. BabelNet 62, and Freebase 65, where nodes are entities, and the edges represent the semantic. Data Cleaning Algorithm Based on Unsupervised Learning. SUN Tie-min a,YU Jie b,SHANG Cheng c,TIAN Da-xin c,ZHANG Li-hua a We recommend APPLICATIONS OF SHAPE MODELING TO INTERNET COMMUNICATION Multilingual semantic dictionaries for natural language processing: The case of BabelNet. New Idea of Flame Simulation in Real-Time. LI Wei-wei a,WANG Jian b,CHEN Yi a,WANG Zheng-xuan a,b Chaotic Dynamics Movement Under Invoke of Non-Gaussian Bounded Noise. Key words: BabelNet, multi-language information retrieval, sorting algorithm, semantic relevance Translation-based information retrieval model. Reduce the loss of semantic relevance. Because the ontology contains a large number of conceptualĬonnections,the ontology is used as the semantic layer representation to design the semantic weightingĪlgorithm. And it is built on the BM25F statistical information retrieval model as the user feedback sortingĪlgorithm. Finally,the multi-language information retrieval prototype system is designed according to theĮstablished model,and the model is tested with the data set obtained based on the crawler technology. TheĮxperimental results show that the average precision of the model is higher than the traditional machine Translation to solve the problem of translation mapping ambiguity,the multi-ontology BabelNet is used to Statistics and ontology is proposed to construct a multi-language information retrieval model. Using statistical Traditional cross-language information retrieval has problems such as low translation mappingĪccuracy and semantic deviation after query expansion. To deal with this problem,a method of integrating
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