[wooorm]

That’s because Haitians always say that! No, joking, it’s just that because of so may supported languages, the accuracy for very short inputs is extremely low.

[allan_s]

for that, the way I've done for TatoDetect (which is meant specifically for the task of detecting the language for "one sentence a time" ) is to have a database of N-gram huge enough for a language to be nearly sure to have "them all", so that you can consider that if your text to detect contains a N-gram that your language does not have in database, you can apply a 'decrease score' for the said language.

[ppod]

A regularized prior would help.

[wooorm]

I’m also really interested in trying something like this: http://www.slideshare.net/shuyo/short-text-language-detectio... (slide 6). But I’d need a lot of training data, more than UDHR.