The performance of a tagger with such a policy is actually poor: there are dozens of tags in the tagset (3,561 in the case of Hebrew full morphological disambiguation) and only a few of them may match a given token.
we are currently investigating models that will take into account the specific nature of prefixes in Hebrew (which encode conjunctions, definite articles and prepositions) to better predict the segmentation of unknown words.