另一方面，将XML数据分解为关系列是一个复杂的流程，成本太高，而且它移除了XML中的自我描述语义信息。
On the other hand, decomposition of XML data into relational columns is a complex and costly process, and it removes the self-descriptive semantic information within the XML.
这就要求对词汇的意义进行完整的分析，并尽可能地将之分解成为最小元素，从而使语言的语义能够从形式上得到计算或组合。
It is required that the meanings of lexicon be fully analyzed and, if possible, be decomposed in nearly primitive, so that the semantics of language can be computable in a formal way.
语义结构分析能比较有效地分解歧义，从而较为全面地显示它在语法研究中的生命力和解释力。
The analysis of semantic structure can interpret the ambiguity in a comparatively effective way, which shows its importance in grammar research.
对产生的可弃语义单元可采用迭代的方法将进一步分解。
The generated abandonable se can be further decomposed through reiteration method.
论文首先提出了一种支持语义等价自动化订阅分解的数据模型。
Fist, we propose a data model that can implement automated subscription decomposition supporting semantic equivalence.
将零件进行特征基元体分解，通过分析基元体在组合成为零件时尺寸功能语义的变化来生成尺寸模型。
Disassembling a part into the features of basic entity (FBE), the dimensional models were gained by analyzing the change of the functional semantics of dimension during FBEs combination.
同时为了进一步降低存局部潜在语义分类的存储空间的开销，采用半离散分解方法替代奇异值分解方法。
Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.
同时为了进一步降低存局部潜在语义分类的存储空间的开销，采用半离散分解方法替代奇异值分解方法。
Meanwhile to reduce the cost of memory space, this paper takes the Semi-Discrete Decomposition Method rather than the Singular Value Decomposition.
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