ANNOUNCE: brillig 0.3 - not quite the Brill tagger
pitekus at gmail.com
Wed Sep 7 12:32:17 BST 2011
Hey Eric and all,
> One other thing, is looking through hackage, I notice Grzegorz
> Chrupała's sequor package which from the description sounds like
> something brillig could try to use (it's meant to provide a family
> of POS taggers)...
I think I don't get it. How would you use a discriminatively trained
tagger like sequor in combination with the Brill tagger?
For what it's worth, I just trained Sequor (using several spelling
features as encoded in the data/mlcomp2.features template) on the
initial 90% of the Brown corpus, and tested on the final 10%, and got
an accuracy of 96.2%. Training takes several hours, but tagging runs
at more than 3000 words/second.
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