Conversion of Ambiguous Grammar to Unambiguous Grammar using Parse Tree

K. Vayadande, Prithviraj Sangle, Kunjal Agrawal, Atman Naik, Aslaan Mulla, Ayushi Khare
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Abstract

The approach described in this research study uses parse trees to transform ambiguous syntax into unambiguous grammar. There is no algorithm that can detect whether a grammar is ambiguous or not. The steps that will be considered in the proposed system to convert an ambiguous grammar into unambiguous are: Precedence of operators and the Associativity rule. Multiple interpretations of a statement might result from ambiguous grammar, making it challenging for natural language processing systems to recognize and respond to the intended meaning. The proposed approach entails creating a parse tree for the input text and utilizing it to locate and eliminate ambiguity sources. Experiments on a dataset of phrases with unclear syntax are used to assess the method's efficacy, indicating the potential for enhanced performance in natural language processing systems.
使用解析树将歧义语法转换为无歧义语法
本研究描述的方法使用解析树将歧义语法转换为无歧义语法。没有一种算法可以检测语法是否有歧义。在建议的系统中,将考虑将模糊语法转换为明确语法的步骤是:操作符的优先级和Associativity规则。歧义语法可能导致对语句的多种解释,使自然语言处理系统难以识别和响应预期的含义。建议的方法需要为输入文本创建一个解析树,并利用它来定位和消除歧义源。在语法不清晰的短语数据集上进行实验,以评估该方法的有效性,表明该方法在自然语言处理系统中具有增强性能的潜力。
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