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Verbalizing ORM Models in Malay and Mandarin

机译:用马来语和普通话表达ORM模型

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摘要

The rich graphical notations provided by fact-oriented modeling approaches such as Object-Role Modeling (ORM) for capturing business constraints assist modelers to visualize fine details of their data models. However, the data models themselves are best validated with domain experts by verbalizing the models in a controlled natural language, and by populating the relevant fact types with concrete examples. While a number of fact-based modeling tools provide extensive verbalization support in English, comparatively little work exists to provide fact-based model verbalization support for other languages, especially Asian languages. This paper describes our initial work on verbalizing ORM models in Bahasa Malaysia (Malay) and Mandarin. We discuss aspects of these languages that are not found in English, which require special treatment in order to render natural verbalization (e.g. noun classifiers, and the order in which sentence elements are placed), and describe our current implementation efforts, which involved creating both a prototype and an extension to the NORMA (Natural ORM Architect) tool.
机译:面向事实的建模方法(例如,对象角色建模(ORM))提供的丰富图形表示法用于捕获业务约束,可帮助建模人员可视化其数据模型的详细信息。但是,数据模型本身最好由领域专家验证,方法是使用受控的自然语言对模型进行口头表达,并通过使用具体示例填充相关事实类型。尽管许多基于事实的建模工具提供了广泛的英语口语支持,但为其他语言(尤其是亚洲语言)提供基于事实的模型口头支持的工作相对较少。本文介绍了我们在马来西亚语(马来语)和普通话中对ORM模型进行言语化的初步工作。我们讨论了英语中找不到的这些语言的某些方面,这些方面需要进行特殊处理才能呈现自然的语言表达(例如名词分类器和句子元素的放置顺序),并描述我们当前的实现工作,其中涉及创建两种语言。 NORMA(自然ORM建筑师)工具的原型和扩展。

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