使用解析树将歧义语法转换为无歧义语法

K. Vayadande, Prithviraj Sangle, Kunjal Agrawal, Atman Naik, Aslaan Mulla, Ayushi Khare
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引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conversion of Ambiguous Grammar to Unambiguous Grammar using Parse Tree
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.
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