Learning Constraint Grammars

Constraint Grammar style part-of-speech disambiguation rules can be learned automatically from disambiguated parallel corpora.

Statistical approach

In statistical approach Constraint Grammar style rules are learned by calculating n-gram probabilities of word and part-of-speech tag groups. Current work on implementing such a system is at nuboro's Github repository, and it is based on the paper Inducing Constraint Grammars.