| tech,4-1-N03-1033,ak | 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> . | #2914 We present a newpart-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. |
