A Universal Part-of-Speech Tagset
Table 2: Grammar induction results in terms of directed dependency accuracy. DMV, PGI and use fine-grained gold POS tags, while USR-G and USR-I uses gold and automatically projected universal POS tags respectively.
['[BOLD] Language', '[BOLD] DMV', '[BOLD] PGI', '[BOLD] USR-G', '[BOLD] USR-I']
For the USR model, it reports results on gold universal POS tags (USR-G) and automatically induced universal POS tags (USR-I). The USR-I model falls short of the USR-G model, but has the advantage that it does not require any labeled data from the target language. Quite impressively, it does better than DMV for all languages, and is competitive with PGI, even though those models have access to fine-grained gold POS tags.