Abstract
The prefix distance between two words x and y is defined as the number of symbol occurrences in the words that do not belong to the longest common prefix of x and y. We show how to model the prefix distance using weighted transducers. We use the weighted transducers to compute the prefix distance between two regular languages by a transducer-based approach originally used by Mohri for an algorithm to compute the edit distance. We also give an algorithm to compute the inner prefix distance of a regular language.
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