Grammatical gender in Swedish is predictable using recurrent neural
  networks
Edvin Listo Zec Olof Mogren
The grammatical gender of Swedish nouns is a mystery. While there are few
rules that can indicate the gender with some certainty, it does in general not
depend on either meaning or the structure of the word. In this paper we
demonstrate the surprising fact that grammatical gender for Swedish nouns can
be predicted with high accuracy using a recurrent neural network (RNN) working
on the raw character sequence of the word, without using any contextual
information.