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

1 files changed, 1 insertions, 1 deletions

diff --git a/decoder/lexcrf.cc b/decoder/lexcrf.cc
index 33455a3d..816506e4 100644
--- a/decoder/lexcrf.cc
+++ b/decoder/lexcrf.cc
@@ -81,7 +81,7 @@ struct LexicalCRFImpl {
       }
     }
     Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1);
-    Hypergraph::Node* goal = forest->AddNode(TD::Convert("[Goal]")*-1);
+    Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1);
     Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail);
     forest->ConnectEdgeToHeadNode(hg_edge, goal);
   }