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Semantic construction during parsing is now extremely easy. Here is an example query:
Sem = Sem=lambda(v1, v1@harry)@lambda(v2, fly(v2))
Or generate the semantics for ``Harry curses a witch.'': s(Sem,[harry,curses,a,witch],[]).
The variables v1,v2
etc. in the output come from the calls to vars2atoms
during lexical retrieval. The predicate generates variable names by concatenating the letter v
to a new number each time it is called.
So now we can construct -terms for natural language sentences. But of course we need to do more work after parsing, for we certainly want to reduce these complicated
-expressions into readable first-order formulas by carrying out
-conversion. For this purpose we will now implement the predicate
betaConvert/2
.
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