other,66-1-N03-1033,bq |
and ( iv ) fine-grained modeling of
<term>
|
unknown word features
|
</term>
. Using these ideas together , the
|
#2975
We 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 . |