ZPar is a statistical natural language parser, which performs syntactic analysis tasks including word segmentation, part-of-speech tagging and parsing. ZPar supports multiple languages and multiple grammar formalisms. ZPar has been most heavily developed for Chinese and English, while it provides generic support for other languages. A Romanian model has been trained for ZPar 0.2, for example. ZPar currently supports context free grammars (CFG), dependency grammars and combinatory categorial grammars (CCG).
The ZPar software requires the following basic system configuration
Download the latest zip files from sourceforge and move them to your work space.
You can use ZPar off the shelf by referring to the quick start, or follow detailed instructions for the compilation, training, and usage of individual modules.
The software source is under GPL (v.3), and a separate commercial license issued by Oxford University for non-opensource. Various models available for download were trained from different text resources, which may require further licenses.