We rely on the analysis and guessing tools in the second aspect and, in particular, on their ability to reduce the search space for the disambiguator.
we have chosen to implement a second-order variant of CCRF which incorporates a dense feature set (constraints from the training set are taken into account during the construction of the feature set) with no sparse forward-backward recursions optimization.