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Systems and methods for regularly approximating context-free grammars through transformation

机译:通过转换定期近似无上下文语法的系统和方法

摘要

Context-free grammars generally comprise a large number of rules, where each rule defines how a sting of symbols is generated from a different series of symbols. While techniques for creating finite-state automata from the rules of context-free grammars exist, these techniques require an input grammar to be strongly regular. Systems and methods that convert the rules of a context-free grammar into a strongly regular grammar include transforming each input rule into a set of output rules that approximate the input rule. The output rules are all right- or left-linear and are strongly regular. In various exemplary embodiments, the output rules are output in a specific format that specifies, for each rule, the left-hand non-terminal symbol, a single right-hand non-terminal symbol, and zero, one or more terminal symbols. If the input context-free grammar rule is weighted, the weight of that rule is distributed and assigned to the output rules.
机译:上下文无关的语法通常包含大量规则,其中每个规则定义了如何从不同系列的符号中生成符号字符串。尽管存在根据上下文无关文法规则创建有限状态自动机的技术,但这些技术要求输入文法必须严格规则。将无上下文语法的规则转换为强规则语法的系统和方法包括将每个输入规则转换为一组近似输入规则的输出规则。输出规则都是右线性或左线性的,并且是很规则的。在各种示例性实施例中,以特定格式输出输出规则,该特定格式为每个规则指定左手非终端符号,单个右手非终端符号以及零个,一个或多个终端符号。如果对输入上下文无关的语法规则进行加权,则将分配该规则的权重并将其分配给输出规则。

著录项

  • 公开/公告号US7289948B1

    专利类型

  • 公开/公告日2007-10-30

    原文格式PDF

  • 申请/专利权人 MEHRYAR MOHRI;

    申请/专利号US20020199227

  • 发明设计人 MEHRYAR MOHRI;

    申请日2002-07-22

  • 分类号G06F17/27;

  • 国家 US

  • 入库时间 2022-08-21 21:02:00

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