I have a script I found on here that works well when looking for the Lowest Common Substring.
However, I need it to tolerate some incorrect/missing characters. I would like be able to either input a percentage of similarity required, or perhaps specify the number of missing/wrong characters allowable.
For example, I want to find this string:
big yellow school bus
inside of this string:
they rode the bigyellow schook bus that afternoon
This is the code i’m currently using:
function longest_common_substring($words) {
$words = array_map('strtolower', array_map('trim', $words));
$sort_by_strlen = create_function('$a, $b', 'if (strlen($a) == strlen($b)) { return strcmp($a, $b); } return (strlen($a) < strlen($b)) ? -1 : 1;');
usort($words, $sort_by_strlen);
// We have to assume that each string has something in common with the first
// string (post sort), we just need to figure out what the longest common
// string is. If any string DOES NOT have something in common with the first
// string, return false.
$longest_common_substring = array();
$shortest_string = str_split(array_shift($words));
while (sizeof($shortest_string)) {
array_unshift($longest_common_substring, '');
foreach ($shortest_string as $ci => $char) {
foreach ($words as $wi => $word) {
if (!strstr($word, $longest_common_substring[0] . $char)) {
// No match
break 2;
}
}
// we found the current char in each word, so add it to the first longest_common_substring element,
// then start checking again using the next char as well
$longest_common_substring[0].= $char;
}
// We've finished looping through the entire shortest_string.
// Remove the first char and start all over. Do this until there are no more
// chars to search on.
array_shift($shortest_string);
}
// If we made it here then we've run through everything
usort($longest_common_substring, $sort_by_strlen);
return array_pop($longest_common_substring);
}
Any help is much appreciated.
UPDATE
The PHP levenshtein function is limited to 255 characters, and some of the haystacks i’m searching are 1000+ characters.
Writing this as a second answer because it’s not based on my previous (bad) one at all.
This code is based on http://en.wikipedia.org/wiki/Wagner%E2%80%93Fischer_algorithm and http://en.wikipedia.org/wiki/Approximate_string_matching#Problem_formulation_and_algorithms
It returns one (of potentially several) minimum-levenshtein substrings of $haystack, given $needle. Now, levenshtein distance is just one measure of edit distance and it may not actually suit your needs. ‘hte’ is closer on this metric to ‘he’ than it is to ‘the’. Some of the examples I put in show the limitations of this technique. I believe this to be considerably more reliable than the previous answer I gave, but let me know how it works for you.