Syntactic Polysemy in Machine Translation

The paper focuses on the issues of establishing semantic content of syntactic structures via the contrastive study of the English and Russian language systems and parallel texts analysis for the tasks of machine translation. Particular attention is given to consideration of syntactic polysemy and ambiguity, and the mechanisms of polysemous structures presentation are proposed. The decisions are worked out on the basis of projecting the functional values through the traditional categorial meanings of language units and structures. The syntactic polysemy is understood as the immediate realization of more than one categorial head meaning within the same language structure. The phenomenon of syntactic polysemy determines the possible multiple transfer scheme for a given language pattern. The system of multivariant transfer rules is designed to be further specified by machine learning methods.