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07-Nov-2017 11:52

Die Levenshtein-Distanz bezeichnet die minimale Anzahl von Zeichen, die Sie ersetzen, einfügen oder löschen müssen, um $str1 in $str2 umzuwandeln.In ihrer einfachsten Form erhält die Funktion nur die zwei Strings als Parameter und berechnet nur die Anzahl der Einfügungen, Ersetzungen und Löschungen, die benötigt werden, um $str1 in $str2 zu überführen.

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Informally, the Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.It is my dad’s birthday today, (see my past tribute) and in his part of the country kids are walking outside in their shorts, while in Toronto we are weathering yet another winter storm. On the plus side, fans are happy to have a bit of Downton here for a visit.Since I only publish one dish a week, today’s dish is a catch up recipe from Season 4.Here, one of the strings is typically short, while the other is arbitrarily long.

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This has a wide range of applications, for instance, spell checkers, correction systems for optical character recognition, and software to assist natural language translation based on translation memory.

Der DP-Algorithmus zur Berechnung der Levenshtein-Distanz ist mit dem Needleman-Wunsch-Algorithmus zur Berechnung des Sequenzalignments zweier Zeichenketten verwandt. Bei dem Levenshtein-Algorithmus besteht eine Einfüge- bzw. Varianten des Needleman-Wunsch Algorithmus beschränken die Wahl der Kostenfunktion, so dass deren Laufzeit in liegt. Die Levenshtein-Distanz kann als Sonderform der Dynamic-Time-Warping-Distanz (DTW) betrachtet werden.

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