Linguistic Modeling for Multilingual Machine Translation
Linguistic Modeling for Multilingual Machine Translation
Linguistic Modeling for Multilingual Machine Translation
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10.1. FROM INTERNAL TO EXTERNAL ARGUMENTS 103<br />
(152) @rule(b).<br />
8<br />
9<br />
lex=wegen,<br />
role=mod,<br />
n<br />
o<br />
>< head= cat=p,restr= head= COINDEX , >=<br />
8 9<br />
>< role=theme,pos=nil,<br />
arg1= ,<br />
>=<br />
frame= head= COINDEX<br />
>:<br />
>:<br />
<br />
arg2= role=agent<br />
> ><br />
With adjectives, the internal argument position and the external argument<br />
restr may be linked in two possible ways. With \active" adjectives, i.e. deverbal<br />
adjectives whose rst argument is being predicated on, the external<br />
argument is copied from the rst argument and with "passive" adjectives the<br />
external argument is coindexed with the second argument. In underived adjectives<br />
it is the second argument which is coindexed with the external argument<br />
position, but with derived adjectives, the base of the derivation decides whether<br />
the rst or second argument becomes the external argument. An example of<br />
an "active" adjective istheFrench adjective meditatif which means qui medite<br />
(who meditates) (153). A passive adjective is the French adjective applicable,<br />
which isderived from the French verb appliquer and means qui peut ^etre applique<br />
(which can be applied) (154). The lexical entries of these adjectives are<br />
coded together with the verbs they are derived from.<br />
(153) @rule(b).<br />
8<br />
lex=<br />
me1diter,<br />
head= (<br />
cat=v<br />
n<br />
o<br />
cat=a,deriv= a=if ,ehead= voice=act ><<br />
n<br />
o<br />
cat=n,deriv= a=ation )<br />
8<br />
< arg1=<br />
role=agent ,<br />
frame= n<br />
>: :<br />
arg2= role=theme,head= j ehead= cat=n,p<strong>for</strong>m=(nilsur)<br />
9<br />
>=<br />
9<br />
=<br />
o<br />
>