From a machine translation (MT) perspective, the deeper the processing of utterances, the less language-specific differences will remain between the representations of the meaning of the source and target texts.
afterwards, improvements over the baseline system have been applied, adapting and replacing some of the original sieves (Soraluze et al., 2015), taking into account that morphosyntactic features are crucial in the design of the sieves for agglutinative languages like Basque.