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Note: the current system was developed for the sole purpose
of illustrating a constraint-based generation of logically
inequivalent quantifier scopings (see Chaves (2003)).
This method aims at: i) efficiently avoiding
logical overgeneration; ii) reducing the need for additional modules that eliminate
logically equivalent scopings; and iii) speeding up the scope disambiguation stage.
The full representation of tense, aspect, plurals, definite descriptions,
attitudes, lexical semantics and more complex syntactic phenomena and so forth is
ignored at this time. Cf. with Chaves (2002) for the implementation of
a broader grammar, in the shape of a fully lexicalist and monotonic
HPSG-based
interface with a general underspecified semantics framework. |
Nouns |
Verbs |
| Sentences
________________________________________________________________ |
Total Scopings
______________ |
Distinct Scopings
_________________ |
| (1) Every researcher knows every sample. |
|
|
| (2) A student that said that a man saw a woman gave a book to a teacher. |
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| (3) A student that a teacher saw gave a book to a man in a company. |
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| (4) A student from a country that a teacher hates knows that every bird died. |
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| (5) A researcher of every company admires a woman. |
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| (6) Every researcher from a company saw a sample. |
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| (7) A student does not like a teacher. |
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| (8) A woman that a teacher knows did not read a book. |
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