Positive filter
unknown, word, features 1
(32.0 per million)
other,66-1-N03-1033,ak
and ( iv ) fine-grained modeling of
<term>
unknown word features
</term>
. Using these ideas together , the
#2976We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of lexical features, including jointly conditioning on multiple consecutive words, (iii) effective use of priors in conditional loglinear models, and (iv) fine-grained modeling of unknown word features .