levenshtein-distance

I need to install python Levenshtein distance package in order to use this library . Unfortunately, I am not able to install it succesfully. I usually install libraries with pip. However, this time I am getting error: [WinError 2] The system cannot find the file specified which had never happened to me before (when installing libraries). I have tried to install it using the python setup.py install but I get exactly the same error. This the output I get from the console. C:\Users\my_user\Anaconda3\Lib\site-packages\python-Levenshtein-0.10.2>python setup.py install running install running bdist

In levenshtein distance you ask the question, given these two strings, what is their levenshtein distance. How would you go about taking a string and a levenshtein distance and generating all the strings within that levenshtein distance. (It would also take in a character set). So if i pass in a string x and a distance d. then it would give me all the strings within that edit distance, including d-1 and d-2....d-n; (n < d). Expected functionality: >>> getWithinDistance('apple',2,{'a','b',' '}) ['applea','appleb','appel','app le'...] Please note that the program is able to produce app le as

I have the following implementation, but I want to add a threshold, so if the result is going to be greater than it, just stop calculating and return. How would I go about that? EDIT: Here is my current code, threshold is not yet used...the goal is that it is used public static int DamerauLevenshteinDistance(string string1, string string2, int threshold) { // Return trivial case - where they are equal if (string1.Equals(string2)) return 0; // Return trivial case - where one is empty if (String.IsNullOrEmpty(string1) || String.IsNullOrEmpty(string2)) return (string1 ?? "").Length + (string2 ??

I implemented the Damerau–Levenshtein distance in c++ but it does not give correct o/p for the input (pantera,aorta) the correct o/p is 4 but my code gives 5..... int editdist(string s,string t,int n,int m) { int d1,d2,d3,cost; int i,j; for(i=0;i<=n;i++) { for(j=0;j<=m;j++) { if(s[i+1]==t[j+1]) cost=0; else cost=1; d1=d[i][j+1]+1; d2=d[i+1][j]+1; d3=d[i][j]+cost; d[i+1][j+1]=minimum(d1,d2,d3); if(i>0 && j>0 && s[i+1]==t[j] && s[i]==t[j+1] ) //transposition { d[i+1][j+1]=min(d[i+1][j+1],d[i-1][j-1]+cost); } } } return d[n+1][m+1]; } I don't see any errors. Can someone find a problem with the

I'm trying to create an optical character recognition system with the dictionary. In fact I don't have an implemented dictionary yet=) I've heard that there are simple metrics based on Levenstein distance which take in account different distance between different symbols. E.g. 'N' and 'H' are very close to each other and d("THEATRE", "TNEATRE") should be less than d("THEATRE", "TOEATRE") which is impossible using basic Levenstein distance. Could you help me locating such metric, please. This might be what you are looking for: http://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance