The edit distance between two strings S and R is defined to be the minimum number of character inserts, deletes, and changes needed to convert R to S . Given a text string t of length n , and a pattern string p of length m , informally, the string edit distance matching problem is to compute the smallest edit distance between p and substrings of t .We relax the problem so that: (a) we allow an additional operation, namely, substring moves ; and (b) we allow approximation of this string edit distance. Our result is a near-linear time deterministic algorithm to produce a factor of O (log n log* n ) approximation to the string edit distance with moves. This is the first known significantly subquadratic algorithm for a string edit distance problem in which the distance involves nontrivial alignments. Our results are obtained by embedding strings into L 1 vector space using a simplified parsing technique, which we call edit-sensitive parsing (ESP).