ok, that makes more sense. I'm not that familiar with how training affects NLP, but I am versed in training for general ML purposes --- which seems to be the same idea here.
Thanks, JP On Sun, Dec 11, 2011 at 9:12 AM, Jason Baldridge <jasonbaldri...@gmail.com> wrote: > For new domains (e.g. Twitter) and/or new languages, or using more data to > get a better model. -Jason > > On Sat, Dec 10, 2011 at 10:07 PM, Josh Patterson <j...@cloudera.com> wrote: > >> working with the examples and reading: >> >> >> http://sourceforge.net/apps/mediawiki/opennlp/index.php?title=Sentence_Detector >> >> I've noticed the section on "Training"; Given that the models already >> detect things like sentences and POS, in what circumstances would one >> want to "train" the model further? >> >> Josh >> >> -- >> Twitter: @jpatanooga >> Solution Architect @ Cloudera >> hadoop: http://www.cloudera.com >> > > > > -- > Jason Baldridge > Associate Professor, Department of Linguistics > The University of Texas at Austin > http://www.jasonbaldridge.com > http://twitter.com/jasonbaldridge -- Twitter: @jpatanooga Solution Architect @ Cloudera hadoop: http://www.cloudera.com
