Regardless of more data, it actually is typically better to let a parser tag words by itself rather than to use a separate tagger.
On Wed, Jul 6, 2011 at 2:49 AM, Jörn Kottmann <kottm...@gmail.com> wrote: > On 7/6/11 9:10 AM, Claudia Bobach wrote: > >> Now I read about the training and I would like to know if the POS tagger >> which is part of the deep parser contains and uses a tagdictionary like the >> separate OpenNLP POS tagger does. >> > > The parser model just includes a standard POS Tagger Model, > and that model can contain a tag-dictionary, sadly you cannot > provide that while training. > > +1, to fix that, do you want to provide a patch? > > We usually swap the POS Model for the Parser model on the website because, > we have more training data for the POS tagger than for the parser, and this > way it is possible to create a better POS Model with a tag dictionary. > > Jörn > > > > > > > -- Jason Baldridge Assistant Professor, Department of Linguistics The University of Texas at Austin http://www.jasonbaldridge.com http://twitter.com/jasonbaldridge
