海量互联网数据中英语翻译术语高效搜索系统设计

Design of English translation term efficient search system in massive Internet data

针对海量的互联网数据经常产生翻译歧义的问题,设计英语翻译术语高效搜索系统。所设计系统的工作模型从海量互联网数据中收集英语翻译术语,搜索模型构造映射线程来剖析目标英语翻译术语的基本概念和学科范围,通过搜索链接来驱动工作模型进行搜索。工作模型分5条路径采集搜索结果中英语翻译术语的结构特征,提取相关比率高的结果并存储于搜索链接中,将相似度小的搜索结果排列在搜索链接前端,反馈给搜索模型供用户查看。实验测评显示,系统的查全率和查准率等级很高,也可保证搜索效率。

Since the massive Internet data often produces the translation ambiguity,the English translation term efficient search system was designed. The working model of the designed system collects the English translation term in the massive Internet data. The mapping thread is constructed with search model to analyze the basic concept and subject scope of the target English translation term. The working model is driven by search link for search. Five paths are divided in the working model to acquire the structure feature of the English translation term in search results. The result with high correction ratio is extracted,and stored in the search link. The search result with low similarity is arranged in the front end of search link,and feed back to the search model for user viewing. The experimental evaluation results show that the recall ratio and precision ratio of the system are both high,and can ensure the search efficiency.