The computer aided tax system described in this thesis is a semantic grammar system, with the semantic dependency tree as the intermediate language.
本文描述的计算机选案子系统采用语义文法结构，中间语言采用语义依存树的形式。
The semantic analysis system can automatically tag semantic class for each word and analyze the semantic dependency structure between words with the precision of 90.85% and 75.84% respectively.
该语义分析集成系统能够自动分析句子中各个词的词义以及词之间的语义依存关系，达到90.85%的词义标注正确率和75.84%的语义依存结构标注正确率。
This enables semantic queries to target individual elements of the service metadata, and meaningful dependency analysis to take place prior to making changes.
这支持语义查询针对服务元数据的各个元素，以及在做出更改前进行有意义的依赖项分析。
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