Linguistically motivated similarity penalty and categorical distance constraints are also imposed on the inducer as regularization.
current PCFG induction models, using word tokens as input, are unable to incorporate semantics and morphology into induction, and may encounter issues of sparse vocabulary when facing morphologically rich languages.