This paper describes a shallow parsing formalism aiming at machine translation between closely related languages. The formalism allows to write grammar rules helping to (partially) disambiguate chunks in input sentences. The chunks are then translated into the target language without any deep syntactic or semantic processing. A stochastic ranker then selects the best translation according to the target language model. The results obtained for Czech and Slovak are presented.