关于导数解析的复杂性和性能

Michael D. Adams, Celeste Hollenbeck, M. Might
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引用次数: 24

摘要

当前用于上下文无关解析的算法需要在易于理解、易于实现、理论复杂性和实际性能之间进行权衡。没有一种算法能同时实现所有这些属性。Might等人引入了带有派生的解析,它处理任意与上下文无关的语法,同时易于理解和实现。尽管有很多最初的热情和大量的独立实现,但其最坏情况的复杂性从未被证明优于指数。事实上,声称它基本上是指数级的高级论点已经被提出,甚至被接受为民间传说的一部分。在实践中,性能最终表现迟缓,而这种迟缓被视为指数性的非正式证据。在本文中,我们重新研究了导数解析的性能。我们发现它不是指数的,而是三次的。此外,may等人对实现进行的简单(尽管可能不明显)修改导致实现不仅易于理解,而且在实践中性能也很高。
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On the complexity and performance of parsing with derivatives
Current algorithms for context-free parsing inflict a trade-off between ease of understanding, ease of implementation, theoretical complexity, and practical performance. No algorithm achieves all of these properties simultaneously. Might et al. introduced parsing with derivatives, which handles arbitrary context-free grammars while being both easy to understand and simple to implement. Despite much initial enthusiasm and a multitude of independent implementations, its worst-case complexity has never been proven to be better than exponential. In fact, high-level arguments claiming it is fundamentally exponential have been advanced and even accepted as part of the folklore. Performance ended up being sluggish in practice, and this sluggishness was taken as informal evidence of exponentiality. In this paper, we reexamine the performance of parsing with derivatives. We have discovered that it is not exponential but, in fact, cubic. Moreover, simple (though perhaps not obvious) modifications to the implementation by Might et al. lead to an implementation that is not only easy to understand but also highly performant in practice.
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