A probabilistic model for computer-based generation of a machine translation system on the basis of English-Russian parallel text corpora is suggested. The model is trained using parallel text corpora with pre-aligned source and target sentences. The training of the model results in a bilingual dictionary of words and "word blocks" with relevant translation probability.
@article{arxiv.cs/0405037,
title = {A Probabilistic Model of Machine Translation},
author = {G. E. Miram and V. K. Petrov},
journal= {arXiv preprint arXiv:cs/0405037},
year = {2007}
}