Naive Parameter Learning for Optimality Theory-The Hidden Structure Problem

@inproceedings{Jarosz2010NaivePL,
  title={Naive Parameter Learning for Optimality Theory-The Hidden Structure Problem},
  author={Gaja Jarosz},
  year={2010}
}
There exist a number of provably correct learning algorithms for Optimality Theory and closely related theories. These include Constraint Demotion (CD; Tesar 1995, et seq.), a family of algorithms for classic OT. For Harmonic Grammar (Legendre, Miyata and Smolensky 1990; Smolensky and Legendre 2006) and related theories (e.g. maximum entropy), there is… CONTINUE READING