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Advances in Ambiguity Detection Methods for Formal Grammars

机译:形式语法歧义检测方法的进展

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In the area of computer science and others grammars play a vital role from both theoretical and practical points of view. The application areas of formal grammars is increasing day by day in various areas such as patter recognition, machine learning, computational biology, robotics and control systems, speech recognition systems, inductive logic programming and other.Context free grammars, one of the four classes of grammars as defined by Noam Chomsky have wide variety of application.Primarily, Context Free Grammar used to build compilers to verify the syntax of computer program.However, it is known that making research in this field is a computationally hard nut to crack. This paper mainly explores the language model presented by Comosky, Problem of Ambiguity, Degree of Ambiguity, Approaches to Detect Ambiguity, comparisons of existing methods and recent trends etc.
机译:从理论和实践的角度来看,语法在计算机科学和其他领域都起着至关重要的作用。形式语法在模式识别,机器学习,计算生物学,机器人技术和控制系统,语音识别系统,归纳逻辑编程等各个领域中的应用领域日益增加。上下文无关文法是语言文法的四大类之一Noam Chomsky定义的语法具有广泛的应用。最初,上下文无关语法用于构建编译器以验证计算机程序的语法。但是,众所周知,在该领域进行研究很难破解。本文主要探讨了Comosky提出的语言模型,歧义问题,歧义程度,歧义检测方法,现有方法的比较和最新趋势等。

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