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F. Theory of Computation

机译:F.计算理论

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Use what you understand well where you know little, by transforming that about which you know little into something embeddable in the well-understood corpus. Do the transformation with the lowest distortion possible. This is the heart of this important paper, applied to string and document comparison. The paper uses the language of discrete mathematics. It is not easy to read, but is certainly worth reading. L1 is a distance (metric) between two entities equal to the sum of the absolute values of the differences between corresponding coordinates of the entities. Many good algorithms exist for it. The edit or Levenstein distance measures the minimum number of character insertions, deletions, and substitutions needed to transform one string into the other. The edit distance is well defined even for strings of varying lengths. Improving the algorithms that use this distance is an important endeavor for both theoretical and practical reasons.
机译:通过将您几乎不了解的知识转换为可理解的语料库中可嵌入的内容,来充分利用您所了解的知识。以尽可能低的失真进行转换。这是应用于字符串和文档比较的重要论文的核心。本文使用离散数学的语言。它不容易阅读,但是绝对值得阅读。 L1是两个实体之间的距离(度量),等于实体对应坐标之间的差的绝对值的总和。为此存在许多好的算法。编辑或Levenstein距离测量将一个字符串转换为另一个字符串所需的最小字符插入,删除和替换数量。即使对于不同长度的字符串,也可以很好地定义编辑距离。出于理论和实践的原因,改进使用该距离的算法是一项重要的工作。

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