MaltParser Open source and command line based data-driven parser-generator
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generate parse dependency parser generator dependency parser parser dependency

MaltParser Description

Open source and command line based data-driven parser-generator MaltParser is a free and open source system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model.MaltParser implements seven deterministic parsing algorithms:· Nivre arc-eager· Nivre arc-standard· Covington non-projective· Covington projective· Stack projective· Stack swap-eager· Stack swap-lazyMaltParser allows users to define feature models of arbitrary complexity. Requirements: · Java What's New in This Release: Changes: · Improved the performance of the liblinear learner interface. · '_' character do not mean ignore dependency label in the TabReader. · It is now possible to have file names with blanks. · Better error message if a column is an empty string in TabReader. · Corrected the StackProjective.xml feature model file.

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