We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
The fast growth in airline passenger traffic combined with the slow growth in airport capacity worldwide is putting a severe strain on the capability of airlines to adapt their pr...
Jane L. Snowdon, Soad El-Taji, Mario Montevecchi, ...
In this paper, we argue that n-gram language models are not sufficient to address word reordering required for Machine Translation. We propose a new distortion model that can be u...