Titlebook: ;

diathermy

Inducing probabilistic grammars by Bayesian model merging, between a close fit to the data and a default preference for simpler models (‘Occam‘s Razor’). The general scheme is illustrated using three types of probabilistic grammars: Hidden Markov models, class-based .-grams, and stochastic context-free grammars.

忘川河

placebo-effect

周兴旺

Inference and estimation of a long-range trigram model, This results in significant savings in computation time, and is applicable to the training of a general probabilistic link grammar. Results of preliminary experiments carried out for this class of models are presented.

驾驶

osteopath

What is the search space of the regular inference?,l properties of the search space are studied and generalization criteria are discussed. In this framework, the concept of . is introduced, that is the set of the most general solutions excluding a negative sample. Finally, the complexity of regular language identification from both a theoritical and a practical point of view is discussed.

谈判

Application of OSTIA to machine translation tasks,d English-to-German translations have been generated, and exhaustive experiments have been carried out to test the ability of OSTIA to learn these translations. The success of the results show the usefulness of formal learning techniques in limited-domain Machine Translation tasks.

AWRY

A comparison of syntactic and statistical techniques for off-line OCR,very simplistic and idiosyncratic input coding, the syntactic method performs slightly better than any of the other methods. Furthermore, it is likely that the syntactic method could significantly outperform the other methods given a less idiosyncratic input coding.

rheumatology

过份