We summarize these features in Table 1, where ⊕ denotes the binary operator which defines features as a combination of word forms at different (not necessarily contiguous) positions of a sentence.
we also il-lustrate the advantageous generalization property of our model as it retained 89.8% of its original average POS tagging accuracy when trained on only 1.2% of the total accessible training sentences.