By Bill Keller
Constraint and unification-based methods to grammar became more and more renowned in computational linguistics due to their flexibility and descriptive energy. those techniques have constructed a huge inspiration of function constructions that play a key function within the illustration of linguistic details. This ebook offers an in depth survey and comparability of modern methods to the logical formalization of characteristic buildings and their description languages in constraint and unification-based grammar formalisms. invoice Keller is a lecturer in computing device technological know-how and synthetic intelligence within the college of Cognitive and Computing Sciences on the college of Sussex.
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Extra resources for Feature Logics, Infinitary Descriptions, and Grammar
E. through unification). In the context of partial information the theoretical treatment of negative constraints is particularly problematic, and a number of alternative approaches to negative information are described in the course of this chapter. 3 Summary The denotational model of feature structure descriptions due to Pereira and Shieber provides a precise account of purely conjunctive constraints on feature structures. For certain linguistic applications however, the ability to express negative and disjunctive conditions is desirable.
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The second formula above is actually equivalent to the more compact expression x(subj)fagr) w x(agr) which describes a structure in which the value of the path subj agr is identical to the value of the attribute agr. 12. The last formula describes an attribute-value structure in which either number is not sing or person is not 3. 14 (Attribute-Value Models) An attribute-value model is defined as a tuple M = (-F, C, <*>, ¥>, \), where: • (-F, C, 6) is an attribute-value structure • (f> is a total function from V to F • x is an injective function from A to C The denotation of a term t in a model M (written \f\M} is an element of F.