A Probabilistic Model of Machine Translation

TL;DR

This paper introduces a probabilistic model for machine translation that leverages parallel corpora to generate bilingual dictionaries with translation probabilities, enhancing translation quality.

Contribution

It presents a novel probabilistic approach trained on aligned parallel texts to automatically build bilingual dictionaries for machine translation.

Findings

Successfully trained on English-Russian corpora

Generated bilingual dictionaries with translation probabilities

Improved translation accuracy expected

Abstract

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.