You could transliterate the words to latin characters and use a phonetic algorithm like Soundex to get the essence from your word and compare it to the ones you have. In your case that would be C252
for all of your words except the last one that is C250
.
Edit The problem with comparative functions like levenshtein
or similar_text
is that you need to call them for each pair of input value and possible matching value. That means if you have a database with 1 million entries you will need to call these functions 1 million times.
But functions like soundex
or metaphone
, that calculate some kind of digest, can help to reduce the number of actual comparisons. If you store the soundex
or metaphone
value for each known word in your database, you can reduce the number of possible matches very quickly. Later, when the set of possible matching value is reduced, then you can use the comparative functions to get the best match.
Here’s an example:
// building the index that represents your database
$knownWords = array('Čakánka', 'Cakaka');
$index = array();
foreach ($knownWords as $key => $word) {
$code = soundex(iconv('utf-8', 'us-ascii//TRANSLIT', $word));
if (!isset($index[$code])) {
$index[$code] = array();
}
$index[$code][] = $key;
}
// test words
$testWords = array('cakanka', 'cákanká', 'ČaKaNKA', 'CAKANKA', 'CAAKNKA', 'CKAANKA', 'cakakNa');
echo '<ul>';
foreach ($testWords as $word) {
$code = soundex(iconv('utf-8', 'us-ascii//TRANSLIT', $word));
if (isset($index[$code])) {
echo '<li> '.$word.' is similar to: ';
$matches = array();
foreach ($index[$code] as $key) {
similar_text(strtolower($word), strtolower($knownWords[$key]), $percentage);
$matches[$knownWords[$key]] = $percentage;
}
arsort($matches);
echo '<ul>';
foreach ($matches as $match => $percentage) {
echo '<li>'.$match.' ('.$percentage.'%)</li>';
}
echo '</ul></li>';
} else {
echo '<li>no match found for '.$word.'</li>';
}
}
echo '</ul>';