Part-of-Speech Tagging for Historical English
Table 7: Tagging accuracies of domain adaptation models from the PTB to the PPCEME.
['System', 'IV', 'OOV', 'All']
Compared against the baseline tagger, Fema-attribute achieves an absolute improvement of 14% in accuracy on OOV tokens. SCL performs slightly better than Brown clustering and word2vec on IV tokens, but worse on OOV tokens. By incorporating metadata attributes, Fema-attribute performs better than Fema-single on OOV tokens, though the accuracies on IV tokens are similar. Interestingly, the venerable method of Brown clustering (slightly) outperforms both word2vec and SCL.