However, as this feature is unique to the dataset used for the present work, it is hard to see it generalized to similar tasks that use other datasets, even in the context of UGC.
we report the results obtained with all features, with (Table 7) and without (   Summing up, we have shown that the challenging task of native language identification in the context of user generated content, where English texts are authored by highly competent nonnative speakers with as many as 23 native languages, can be accomplished with very high accuracy, as high as 86% when evaluated in-domain, and almost 79% out-of-domain (Table 7).