Morphological disambiguation proceeds in 2 stages: (1) an analyzer provides all possible analyses for a given token and (2) a stochastic disambiguation module picks the most likely analysis in context. When the analyzer does not recognize a given token, we hit the problem of unknowns. In large scale corpora, unknowns appear at a rate of 5 to 10% (depending on the genre and the maturity of the lexicon). We address the task of computing the distribution p(t|w) for unknown words for full morphological disambiguation in Hebrew. .
