We present a new
<term>
part-of-speech tagger
</term>
that demonstrates the following ideas : ( i ) explicit use of both preceding and following
<term>
tag contexts
</term>
via a
<term>
dependency network representation
</term>
, ( ii ) broad use of
<term>
lexical features
</term>
, including jointly conditioning on multiple consecutive words , ( iii ) effective use of
<term>
priors
</term>
in
<term>
conditional loglinear models
</term>
, and ( iv ) fine-grained modeling of
<term>
unknown word features
</term>
.
#2946We 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.