This is noticeable for German ( Brants et al. , 2002 ) and Portuguese ( Afonso et al. , 2002 ) , which still have high overall accuracy thanks to very high attachment scores , but much more conspicuous for Czech ( B Â¨ ohmov Â´ a et al. , 2003 ) , Dutch ( van der Beek et al. , 2002 ) and Slovene ( DËzeroski et al. , 2006 ) , where root precision drops more drastically to about 69 % , 71 % and 41 % , respectively , and root recall is also affected negatively .
the tiger treebank
S Brants S Dipper S Hansen W Lezius G Smith
A second observation is that a high proportion of non-projective structures leads to fragmentation in the parser output , reflected in lower precision for roots . This is noticeable for German ( Brants et al. , 2002 ) and Portuguese ( Afonso et al. , 2002 ) , which still have high overall accuracy thanks to very high attachment scores , but much more conspicuous for Czech ( B Â¨ ohmov Â´ a et al. , 2003 ) , Dutch ( van der Beek et al. , 2002 ) and Slovene ( DËzeroski et al. , 2006 ) , where root precision drops more drastically to about 69 % , 71 % and 41 % , respectively , and root recall is also affected negatively . On the other hand , all three languages behave like high-accuracy languages with respect to attachment score .
This is noticeable for German ( @@CITATION ) and Portuguese ( Afonso et al. , 2002 ) , which still have high overall accuracy thanks to very high attachment scores , but much more conspicuous for Czech ( B Â¨ ohmov Â´ a et al. , 2003 ) , Dutch ( van der Beek et al. , 2002 ) and Slovene ( DËzeroski et al. , 2006 ) , where root precision drops more drastically to about 69 % , 71 % and 41 % , respectively , and root recall is also affected negatively .