设计并实现一个词汇知识获取及语义计算平台VKASCP,以及自然语言处理所需要的基础功能模块.系统主要功能模块包括合成词识别、合成词词性标注及分词修正、主题词提取、词汇语义计算,以及基于主题词集的自动文摘和文本相似度计算.VKASCP融文本语料库、词汇知识库于一体,为词汇知识获取及语义计算提供了一个良好的研究平台,并为今后构建词汇语义知识库打下了坚实的基础.%This paper designs and implements a vocabulary knowledge acquisition and semantic computing platform; VKASCP, and achieves the basic function of the natural language processing modules. The main function modules include compound-word recognition, compound-word part-of-speech tagging and word segmentation modification, keyword extraction, vocabulary semantic computing, automatic summarization method based on thematic term set, text similarity computing based on thematic term set. VKASCP intergrates the text corpus and vocabulary knowledge base, provides a good platform for the vocabulary knowledge acquisition and semantic computing, and lays a solid foundation to build a lexical semantic knowledge base for the future.
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