In natural language processing, semantic document exchange ensures unambiguity and shares the same meaning for documents sender and receiver cross different natural languages (e.g., English to Chinese), this difference makes the translation between natural languages becomes complex and inaccurate. This paper proposed a novel framework of Context-Free Machine Universal Grammar which consists of local mode (sender and receiver) and mediation mode (Machine Universal Language) based on the concept of collaboration, the framework improves semantic unambiguity and accuracy in crossing language document, meanwhile makes document computer-readable through unique ID for each word or phrase. More importantly, inspired by grammatical case in linguistics, a novel Machine Universal Grammar provides a universal grammar that accepts all coming languages and improves semantic accuracy in natural language processing.

中文翻译：

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在自然语言处理中迈向无上下文机器通用语法（CF-MUG）

在自然语言处理中，语义文档交换确保了文档发送者和接收者跨越不同自然语言（例如英语到汉语）的明确性和相同的含义，这种差异使得自然语言之间的翻译变得复杂和不准确。本文基于协作的概念提出了一种新的Context-Free Machine Universal Grammar框架，该框架由本地模式（发送方和接收方）和中介模式（机器通用语言）组成，该框架提高了跨语言文档的语义明确性和准确性，同时通过每个单词或短语的唯一 ID 使文档计算机可读。更重要的是，受语言学中语法格的启发，