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Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication

机译:使用快速矩阵乘法解析线性无上下文重写系统

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We describe a recognition algorithm for a subset of binary linear context-free rewriting systems (LCFRS) with running time O(nωd) where M(m) = O(mω) is the running time for m × m matrix multiplication and d is the “contact rank” of the LCFRS—the maximal number of combination and non-combination points that appear in the grammar rules. We also show that this algorithm can be used as a subroutine to obtain a recognition algorithm for general binary LCFRS with running time O(nωd+1). The currently best known ω is smaller than 2.38. Our result provides another proof for the best known result for parsing mildly context-sensitive formalisms such as combinatory categorial grammars, head grammars, linear indexed grammars, and tree-adjoining grammars, which can be parsed in time O(n4.76). It also shows that inversion transduction grammars can be parsed in time O(n5.76). In addition, binary LCFRS subsumes many other formalisms and types of grammars, for some of which we also improve the asymptotic complexity of parsing.
机译:我们针对运行时间为O(nωd)的二进制线性无上下文重写系统(LCFRS)的子集描述一种识别算法,其中M(m)= O(mω)是m×m矩阵乘法的运行时间,而d是LCFRS的“接触等级” —语法规则中出现的最大组合点数和非组合点数。我们还表明,该算法可以用作子例程,以获得运行时间为O(nωd+ 1)的通用二进制LCFRS的识别算法。当前最著名的ω小于2.38。我们的结果为解析轻度上下文相关形式主义(例如组合类别语法,头部语法,线性索引语法和树邻接语法)的最著名结果提供了另一证据,可以在时间O(n4.76)中对其进行解析。它还表明可以在时间O(n5.76)中解析反演转导语法。另外,二进制LCFRS包含许多其他形式主义和语法类型,对于其中的一些我们还提高了解析的渐近复杂性。

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