Furthermore, the mean score for our system (79.2) is close to the mean of the best performing models (81.0), which are different systems, while using simpler features and learning algorithm.
in this paper, we are interested in both monolingual and cross-lingual CWi; in the latter, we build models to make predictions for languages not seen during training.