Abstract
In this paper we shortly summarize the main paradigms of machine translation. We describe the principles of successful phrase-based statistical approach and show some recent improvements using hybridization towards both example-based and rule-based directions.
We also describe the experiments in this topic English-to-Czech translation that carried out at our department, we comment the weak points and provide for improvement possibilities.