The edit distance between two words $w_1, w_2$ is the minimal number of wordoperations (letter insertions, deletions, and substitutions) necessary totransform $w_1$ to $w_2$. The edit distance generalizes to languages$\mathcal{L}_1, \mathcal{L}_2$, where the edit distance from $\mathcal{L}_1$ to$\mathcal{L}_2$ is the minimal number $k$ such that for every word from$\mathcal{L}_1$ there exists a word in $\mathcal{L}_2$ with edit distance atmost $k$. We study the edit distance computation problem between pushdownautomata and their subclasses. The problem of computing edit distance to apushdown automaton is undecidable, and in practice, the interesting question isto compute the edit distance from a pushdown automaton (the implementation, astan...
International audienceWe study edit distances between strings, based on operations of character subs...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The concept of edit distance and its variants has applications in many areas such as computational l...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The edit distance between two words w 1 , w 2 is the minimal number of word operations (letter inser...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The edit distance between two words w1 , w2 is the minimal number of word operations (letter inserti...
The edit distance between two words w1 , w2 is the minimal number of word operations (letter inserti...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The notion of edit distance arises in very different fields such as self-correcting codes, parsing t...
AbstractThe notion of edit distance arises in very different fields such as self-correcting codes, p...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions, ...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions,...
International audienceWe study edit distances between strings, based on operations of character subs...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The concept of edit distance and its variants has applications in many areas such as computational l...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The edit distance between two words w 1 , w 2 is the minimal number of word operations (letter inser...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The edit distance between two words w1 , w2 is the minimal number of word operations (letter inserti...
The edit distance between two words w1 , w2 is the minimal number of word operations (letter inserti...
The edit distance between two words w1, w2 is the minimal number of word operations (letter insertio...
The notion of edit distance arises in very different fields such as self-correcting codes, parsing t...
AbstractThe notion of edit distance arises in very different fields such as self-correcting codes, p...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
AbstractThe edit distance (or Levenshtein distance) between two words is the smallest number of subs...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions, ...
The edit-distance of two strings is the minimal cost of a sequence of symbol insertions, deletions,...
International audienceWe study edit distances between strings, based on operations of character subs...
The edit distance (or Levenshtein distance) between two strings x, y is the minimum number of charac...
The concept of edit distance and its variants has applications in many areas such as computational l...