Text Readability Assessment for Second Language Learners
Table 7: Results of domain adaptation from native to language testing data
['[EMPTY]', 'pairwise ACC', 'PCC']
For comparison, we also present the results obtained when we apply the model trained on the native data to the L2 data directly, and the results obtained when we train the ranking model on the L2 data only. We can see that ranking with EasyAdapt outperforms the naive generalization approach significantly (p<0.05), but it does not beat the results obtained when training a model on L2 data directly.