Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Grammar induction, also known as grammar inference, is one of the most important research areas in the domain of natural language processing. Availability of large corpora has enc...
— This paper demonstrates how two different sets of powerful domain specific language features can be specified and deployed as composable language extensions. These extensions...
Abstract. Both XML and Lisp have demonstrated the utility of generic syntax for expressing tree-structured data. But generic languages do not provide the syntactic richness of cust...
Abstract. Extensible Dependency Grammar (XDG) is a graph description language whose formulas can be solved by constraint programming. XDG is designed so as to yield a declarative a...