Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets
Table 5: PoS tagging accuracy scores on Metu-Sabancı Turkish Treebank
['Train size', 'Test size', 'Tag num.', 'Word Emission Acc.', 'Suffix Acc.', 'Morpheme Tag Acc.']
We tested our model on two different datasets. The first set of experiments were performed on Metu-Sabancı Turkish Treebank. We provide results for word emissions, last suffix emissions, and the tag of the last morpheme’s emissions. For a 5K training set, word emission accuracy is 84.8%, suffix emission accuracy is 86.2%, and morpheme tag emission accuracy is 88.9%. This shows that using morpheme tag emission outperforms both word emissions and last suffix emissions in smaller datasets. The accuracy increases on a ∼40K train set, but still using morpheme tag emissions outperforms using word and last suffix emissions.