Traversing the design and construction process, even for an experienced hand, is
sometimes daunting. When dealing with unfamiliar terminology and professionals
in the fi eld of architecture, engineering, and construction, project owners may need
some guidance along the way and, at times, wish they had a relative in the building
business to provide them with some helpful tips.
One of transformation's most primitive forms is the transformation of character sequences
otherwise known as strings. Unlike the ancient language SNOBOL or the relatively modern Perl,
XSLT was not specifically designed with string manipulation in mind. However, Chapter 1 shows
that almost anything one wants to do with strings can be done within the confines of XSLT.
This paper describes our system for generating Chinese aspect expressions. In the system, the semantics of different aspects is characterized by specific temporal and conceptual features. The semantic applicability conditions of each individual aspect are theoretically represented by an aspect selection function (ASF). The generation is realized by evaluating implemented inquiries which formally define the ASFs, traversing the grammatical network, and making aspect selections.
In this paper we compare two grammar-based generation algorithms: the Semantic-Head-Driven Generation Algorithm (SHDGA), and the Essential Arguments Algorithm (EAA). Both algorithms have successfully addressed several outstanding problems in grammarbased generation, including dealing with non-monotonic compositionality of representation, left-recursion, deadlock-prone rules, and nondeterminism. We concentrate here on the comparison of selected properties: generality, efficiency, and determinism.