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Complexity of Two-Dimensional Rank-Reducing Grammars

机译:二维排名缩减语法的复杂性

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We study properties of a two-dimensional grammar introduced recently for use in document analysis and recognition. The grammar is obtained from the two-dimensional context-free grammar by restricting the form of productions. Variants (ranks) of the grammar with regard to productions complexity are defined. It is suggested that the lowest-rank variant can be considered as a natural generalization of the regular matrix grammar, which in addition has good properties with respect to the membership and emptiness problems. However, it is also showed that the higher-rank variants do not loosen complexity of the context-free grammar too much. There is a conditional lower bound preventing to propose a linear-time parsing algorithm. Moreover, the grammar is able to simulate the 2-counter Minsky machine, which results in non-recursive trade-offs and undecidability of the emptiness problem.
机译:我们研究最近推出的二维语法用于文档分析和识别的性质。 通过限制制造的形式,从二维无规的语法获得语法。 定义了语法的变体(等级)关于制作复杂性的语法。 建议,最低秩变体可以被认为是常规矩阵语法的天然概括,这增加了与成员资格和空虚问题具有良好的特性。 然而,还表明,较高级别的变体不会松开无线语法的复杂性。 有条件的下限预防,提出了线性时间解析算法。 此外,语法能够模拟2计数器迷你机,从而导致空虚问题的非递归权衡和不可剥离性。

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