For example , modeling CASE in Czech improves Czech parsing ( Collins et al. 1999 ) : CASE is relevant , not redundant , and can be predicted with sufficient accuracy .
a statistical parser for czech
Michael Collins Jan Hajic Lance Ramshaw Christoph Tillmann
In the past , it has been shown that if we can recognize the relevant morphological features in assignment configurations well enough , then they contribute to parsing accuracy . For example , modeling CASE in Czech improves Czech parsing ( Collins et al. 1999 ) : CASE is relevant , not redundant , and can be predicted with sufficient accuracy . It has been more difficult showing that agreement morphology helps parsing , however , with negative results for dependency parsing in several languages ( Eryigit , Nivre , and Oflazer 2008 ; Nivre , Boguslavsky , and Iomdin 2008 ; Nivre 2009 ) .
For example , modeling CASE in Czech improves Czech parsing ( @@CITATION ) : CASE is relevant , not redundant , and can be predicted with sufficient accuracy .