We first show the estimation accuracy for each feature both for the trained classifier and the majority baseline in Figure 3.
we (i) regard one such language as a test instance and the remaining languages as training instances, (ii) represent both the training and test instances with the features other than the target feature, (iii) see whether the value of the target feature in the test instance is correctly estimated or not, (iv) iterate this process for all those languages to calculate the estimation accuracy.