Генеративная вероятностная модель

We present a language-independent and unsupervised algorithm for the segmenta- tion of words into morphs. The algorithm is based on a new generative probabilis- tic model, which makes use of …...

This paper describes the two algorithms we developed for the CoNLL 2008 Shared Task “Joint learning of syntactic and se- mantic dependencies”. Both algorithms start parsing the sentence using the …...

We present a generative probabilistic model, inspired by historical printing pro- cesses, for transcribing images of docu- ments from the printing press era. By jointly modeling the text of the …...