Acquiring syntactic information for a government pattern dictionary from large text corpora

There are some research lines in automatic subcategorization frame acquisition and the importance of their work could not be doubted. However, almost all automatic work has been done in the constituent approach. Conversely, manual work is the traditional way for syntactic information acquisition in the dependency approach, which considers the correspondence between semantic valences and theirs syntactic realizations. The last approximation has some advantages for description of languages with relaxed word order constraints and a vast prepositional use. Our work is intended to compile automatically a government patterns dictionary in what syntactic information is referred to and to give a tool to facilitate linking of valences and meaning.