Hi there, I am trying to implement language detection with PHP for a web site I am trying to build. The idea is to take a piece of text and try to guess the language it is written in. I have two options but I'd like to know if you guys have a better idea. 1) I implemented a detector using spell checking, so if I run the text through many spell checkers the one with less errors is probably the right language for that text. It works quite well and I am pleased with it. The only thing I don't like is that loading many spell checkers is a bit of a waste, it may require a lot of CPU and a lot of memory depending on the dictionary and the number of dictionaries you load. Besides, it adds one extra module dependency (pspell). 2) The other option is implemented in PEAR and it's called Text_LanguageDetect: [] http://pear.php.net/package/Text_LanguageDetect It seems to use a very different technique called N-Gram-Based Text Categorization, I haven't tested it yet but I will very soon and see how good it works, it says it's in alpha state but I guess it doesn't requiere pspell, doesn't consume a lot of memory and it should be fast. The only thing I am worried about is how accurate is it... I'll check soon and post my comments later. 3) <Insert a very good idea here, please> I'd really like to hear what different alternatives all of you have for this problem. Thanks a lot, -William -- PHP General Mailing List (http://www.php.net/) To unsubscribe, visit: http://www.php.net/unsub.php
