Tool for robust stochastic parsing using optimal maximum coverage
Vladimír Kadlec, Jean-Cédric Chappelier, Martin Rajman · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2004
This report presents a robust syntactic parser that is able to return a "correct" derivation tree even if the grammar cannot generate the input sentence. The following two step solution is prop osed: the finest corresponding most probable optimal maximum coverage is generated first, then the trees from this coverage are glued into one resulting tree. We discuss the implementation of this method with the SLP toolkit and libkp library.