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Eckhard Bick - VISL

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Illustration: Disambiguation of semantic prototype bubbles by dimensional<br />

downscaling (lower-dimension projections)<br />

Let’s take a specific example. As suggested above, it may be near impossible in a<br />

principled way to define the Brazilian Portuguese word fato in however vast a data base,<br />

but in a bilingual (i.e. practically oriented MT-) perspective it would be quite possible<br />

to distinguish between the three Danish translations 'kendsgerning' (fact), 'habit' (suit),<br />

and 'flok' (flock), by means of only two atomic semantic features, ±abstract and ±HUM,<br />

in different combinations, like abstract not living ('fact'), not abstract not living ('suit')<br />

and not abstract living ('flock'). These features are furthermore enough to delimit and<br />

discriminate (not define!) larger prototype families in relation to each other, like<br />

"clothing" () and "group of animals" or "group of people" (in the illustration AA<br />

and HH, respectively). In a Constraint Grammar context a hierarchy of lexicon and<br />

context driven grammatical rules can "discard" or "select" these features in a given<br />

sentence either individually or group-wise in the form of prototypical "feature families"<br />

(like 'clothing') 219 . Thus, if the parser knows from the lexicon that ‘fato’ includes in its<br />

prototype range (‘animal multiplicity’) and (‘clothing’), rules will<br />

219 At present there are altogether ca. 200 different tags for semantic prototypes in my parser. The semantic features of nouns<br />

can be reduced to 16 hierarchically ordered "atomic" features. Verbs are tagged for ±HUM subject selection, and adjectives<br />

for ±HUM nominal selection.<br />

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