When those resources are not available, the most common methods used for compound splitting are using features such as the geometric mean of the frequencies of compound parts in a corpus, as in<cite> Koehn and Knight (2003)</cite> 's back-off method, or learning a language model from a corpus and estimating the probability of each sequence of possible compound parts (Schiller, 2005; Marek, 2006) .