We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
In this paper we report on our natural language information retrieval (NLIR) project as related to the recently concluded 5th Text Retrieval Conference (TREC-5). The main thrust o...
Tomek Strzalkowski, Fang Lin, Jose Perez Carballo,...
The paper extends some of the most recently obtained results on the computational universality of speci c variants of H systems (e.g. with regular sets of rules) and proves that we...
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...