>
> you could create a heuristical function to give you the probability
> that a direction is a spammer based in a rule that indicates the
> approximate distribution between vowels and consonants in a "normal"
> word.
>
> Another rule of thumb could be that it is very unlikely to have in a
> word 4 consonants, a vowel, 3 consonants and so on.
>
> Surely this function would need to take in consideration that not all
> languages have the same distribution, although inside a group, like the
> germanic or the latin languages, it is more or less equal.
Yes, but before writing an algorithm myself, I thought I'd ask for
something ready made. It would take a bit of research I guess...
>
>
> Still, you have to consider those cases when the real e-mail addresses
> really appear to be spammers but are not.
Sure that it can't be 100% accurate, but it would be enough if the
algorithm could make a guess.
>
> For example, I know that in Austria some people have as surname
> Gschwandtner (creepy isn't it?), which surely such an algorithm would
> consider as the king of spammers <bg>
>
There are strange names in Switzerland too.
Like "Gygax", the name of a player of our national soccer team. ;-)
http://www.transfermarkt.de/index.html?anz=/spieler/spieler_details.php4?nr=4951
