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TRANSFORMING NATURAL LANGUAGE REQUIREMENT DESCRIPTIONS INTO ANALYSIS MODELS
TRANSFORMING NATURAL LANGUAGE REQUIREMENT DESCRIPTIONS INTO ANALYSIS MODELS
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机译:将自然语言需求描述转换为分析模型
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摘要
Natural Language Requirement (NLR) descriptions are parsed to generate syntactic verb structures. These structures are matched with a set of pre-defined semantic patterns to form semantic networks of semantic pattern instances. The networks are searched; any missing concepts identified and any incorrect or ambiguous concepts modified or clarified by user interaction. This interaction creates new semantic pattern instances that are used to generate an analysis model represented by a Unified Modelling Language (UML) or Entity-Relationship (ER) diagram, which can then be subsequently used to generate a computer software system.
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