In this paper, we argue that languages for which we have gold-standard morphological analyses can be used as effective guides for languages lacking such resources.
instead of treating each language's morphological analysis as a de novo induction problem to be solved with a purely handcoded bias, we instead learn from our labeled languages what linguistically plausible morphological analyses looks like, and guide our analysis in this direction.