Dependency Parsing Model for Polish

Polish Dependency Parsing Model



Statistical dependency parsing model is trained on the Polish Dependency Bank (PDB, Pol. Składnica zależnościowa) with the the publicly available parsing system -- MaltParser. MaltParser is a transition-based dependency parser that uses a deterministic parsing algorithm. The deterministic parsing algorithm builds a dependency structure of an input sentence based on transitions (shift-reduce actions) predicted by a classifier. The classifier learns to predict the next transition given training data and the parse history.

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  • MaltParser(1.7.2 or higher)

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