From bba4ff830c8722cdcaf29e36c1ff5821a912ae5d Mon Sep 17 00:00:00 2001 From: Chris Dyer Date: Thu, 17 Dec 2009 13:57:54 -0500 Subject: added non-pruning intersection and a CRF tagger - the linear-chain tagger is more of a proof of concept than a real tagger-- the context-free assumptions made in a number of places mean that the algorithms used may not be as efficient as they could be, but the model is as powerful as any CRF - it would be easy to add latent variables or semi-CRF support (or both!) - i've added a couple basic features that are often used for POS tagging - non-pruning intersection is useful for lexical word alignment models and the tagger - a sample POS tagger model will be committed later --- training/cluster-ptrain.pl | 1 + 1 file changed, 1 insertion(+) (limited to 'training/cluster-ptrain.pl') diff --git a/training/cluster-ptrain.pl b/training/cluster-ptrain.pl index 8b06f162..33aab25d 100755 --- a/training/cluster-ptrain.pl +++ b/training/cluster-ptrain.pl @@ -36,6 +36,7 @@ GetOptions("cdec=s" => \$DECODER, "sigma_squared=f" => \$sigsq, "means=s" => \$means_file, "optimizer=s" => \$OALG, + "gaussian_prior" => \$PRIOR, "jobs=i" => \$nodes, "pmem=s" => \$pmem ) or usage(); -- cgit v1.2.3