In the paper, we propose a general method for statistical performance evaluation. The method incorporates various statistical metrics and automatically selects an appropriate stat...
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implemen...
We present a natural language interface system which is based entirely on trained statistical models. The system consists of three stages of processing: parsing, semantic interpre...
Scott Miller, David Stallard, Robert J. Bobrow, Ri...
We extend Buja’s concept of “pseudo-capacities”, which comprises the neighbourhood models for classical probabilities commonly used in robust statistics. Although systematic...
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...