The representation and acquisition of knowledge play a key role in studies on information processing and natural language interpretation.
在自然语言处理研究中，知识表示、知识获取是核心课题。
Far less ambiguous than natural language, UML enhances communication and reduces interpretation errors.
U ML比自然语言要明确得多，它增强了沟通，并减少了解释错误。
Given the ambiguity of natural language, business policies are often not directly actionable and need interpretation to be enforced.
由于自然语言具有模糊性，业务策略常常无法直接执行，需要加以解释。
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