WBIModeler以业务流程执行语言(BPEL)、XSD和WSDL构件相结合的形式输出流程模型以及相关的业务级别的对象定义。
The WBI Modeler exports the process model and its associated business-level object definitions in a combination of business process Execution Language (BPEL), XSD, and WSDL artifacts.
这些与本体构造型相结合的模型元素将转换为Web 本体语言（Web Ontology Language，OWL）构造，然后可以将这些构造导入Fabric Web工具。
These model elements combined with the ontology stereotypes are transformed into Web Ontology Language (OWL) constructs that can then be imported into Fabric Web tools.
同时，UML作为一种模型语言，可与任何面向对象的开发过程相结合来进行使用。
At the same time, as a modeling language, UML can be used combined with any object-oriented developing processes.
而统计语言模型和IR相结合后所形成的IR模型的提出，是信息检索模型研究上的重大进展。
The proposition of IR model formed after statistical language model combined with IR has great progress at information retrieval model research area.
该算法结合统计语言模型和中文构词规则等信息，能有效识别中文姓名。
The algorithm integrated statistic model and semantic rules is able to recognize Chinese person names effectively.
介绍了形式化描述语言LOTOS的特性，结合面向对象技术和状态图的理论知识，给出了基于LOTOS的动态模型的形式化方法，并给出了实例说明。
Combined with theory of object oriented technology and state chart, formalization method of dynamic model based on LOTOS is presented. Furthermore, a case is presented to demonstrate this method.
研究神经网络模型的结构和算法的分离与结合理论及结合神经网络结构描述语言实现底层代码的重用。
The separation of structure and algorithm in NN simulating model and how to reuse the code of NN through language description are introduced.
最大熵模型提供了一种自然语言处理的方法，提出了一种结合医疗标准术语的医疗文本信息结构化方案。
Maximum entropy model provides a natural language processing method, and proposes a structured program of medical text information combined with standard terminology for health care.
将不确定语言评价与多属性群体决策方法相结合，提出了虚拟物流中心伙伴选择的不确定语言多属性群体决策模型。
A model of virtual logistics center partner selection based on uncertain language multi-attribute group decision-making method was proposed, which combined.
本系统把各坝系布局的专业模型用计算机语言来实现，结合小流域三维可视化环境，通过人机交互方式确定最终坝的数量、类型、建筑物组成以及进行动态分析。
In this system, computer simulated dam system layout model, and could dynamic analysis and get amount, type and composing of building, combining 3d visual modeling and Human-Computer interaction.
我们还将分布式相似度作为一个特征用于最大熵判别模型中，结合编辑距离、发音相似度、语言模型等基本特征。
Next we used distributional similarity as a feature in the discriminative maximum entropy model, with edit distance, phonetic similarity, and language model as other features.
我们还将分布式相似度作为一个特征用于最大熵判别模型中，结合编辑距离、发音相似度、语言模型等基本特征。
Next we used distributional similarity as a feature in the discriminative maximum entropy model, with edit distance, phonetic similarity, and language model as other features.
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