Method for an Automatic Generation of a Semantic-Level Contextual Translational Dictionary

Abstract

In this paper we demonstrate the semantic feature machine translation (MT) system as a combination of two fundamental approaches, where the rule-based side is supported by the functional model of the Russian language and the statistical side utilizes statistical word alignment. The MT system relies on a semanticlevel contextual translational dictionary as its key component. We will present the method for an automatic generation of the dictionary where disambiguation is done on a semantic level.