We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
* We present a method for representing and recognizing visual events using attribute grammars. In contrast to conventional grammars, attribute grammars are capable of describing fe...
This paper describes new default unification, lenient default unification. It works efficiently, and gives more informative results because it maximizes the amount of information ...
Alpino is a wide-coverage computational analyzer of Dutch which aims at accurate, full, parsing of unrestricted text. We describe the head-driven lexicalized grammar and the lexic...
This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...