diff --git a/moses/GlobalLexicalModel.cpp b/moses/GlobalLexicalModel.cpp
index 474ca8e8f..96b9491b1 100644
--- a/moses/GlobalLexicalModel.cpp
+++ b/moses/GlobalLexicalModel.cpp
@@ -9,21 +9,39 @@ using namespace std;
 
 namespace Moses
 {
-GlobalLexicalModel::GlobalLexicalModel(const string &filePath,
-                                       const vector< FactorType >& inFactors,
-                                       const vector< FactorType >& outFactors)
-  : StatelessFeatureFunction("GlobalLexicalModel",1)
+GlobalLexicalModel::GlobalLexicalModel(const std::string &line)
+: StatelessFeatureFunction("GlobalLexicalModel",1)
 {
   std::cerr << "Creating global lexical model...\n";
 
+  string filePath;
+  vector<FactorType> inputFactors, outputFactors;
+
+  vector<string> toks = Tokenize(line);
+  for (size_t i = 0; i < toks.size(); ++i) {
+    vector<string> args = Tokenize(toks[i], "=");
+
+    if (args[0] == "file") {
+      CHECK(args.size() == 2);
+      filePath = args[1];
+    }
+    else if (args[0] == "inputFactors") {
+      inputFactors = Tokenize<FactorType>(args[1],",");
+    }
+    else if (args[0] == "outputFactors") {
+      outputFactors = Tokenize<FactorType>(args[1],",");
+    }
+  }
+
   // load model
-  LoadData( filePath, inFactors, outFactors );
+  LoadData( filePath, inputFactors, outputFactors );
 
   // define bias word
   FactorCollection &factorCollection = FactorCollection::Instance();
   m_bias = new Word();
-  const Factor* factor = factorCollection.AddFactor( Input, inFactors[0], "**BIAS**" );
-  m_bias->SetFactor( inFactors[0], factor );
+  const Factor* factor = factorCollection.AddFactor( Input, inputFactors[0], "**BIAS**" );
+  m_bias->SetFactor( inputFactors[0], factor );
+
 }
 
 GlobalLexicalModel::~GlobalLexicalModel()
diff --git a/moses/GlobalLexicalModel.h b/moses/GlobalLexicalModel.h
index 5de3826cb..2e9f3badb 100644
--- a/moses/GlobalLexicalModel.h
+++ b/moses/GlobalLexicalModel.h
@@ -63,9 +63,7 @@ private:
   float GetFromCacheOrScorePhrase( const TargetPhrase& targetPhrase ) const;
 
 public:
-	GlobalLexicalModel(const std::string &filePath,
-	                   const std::vector< FactorType >& inFactors,
-	                   const std::vector< FactorType >& outFactors);
+  GlobalLexicalModel(const std::string &line);
 	virtual ~GlobalLexicalModel();
 
   void InitializeForInput( Sentence const& in );
diff --git a/moses/Parameter.cpp b/moses/Parameter.cpp
index 266812a9a..b4cc158ac 100644
--- a/moses/Parameter.cpp
+++ b/moses/Parameter.cpp
@@ -190,6 +190,9 @@ Parameter::Parameter()
   AddParam("weight", "weights for ALL models, 1 per line 'WeightName value'. Weight names can be repeated");
   AddParam("weight-overwrite", "special parameter for mert. All on 1 line. Overrides weights specified in 'weights' argument");
   AddParam("input-scores", "2 numbers on 2 lines - [1] of scores on each edge of a confusion network or lattice input (default=1). [2] Number of 'real' word scores (0 or 1. default=0)");
+
+  AddParam("feature", "");
+
 }
 
 Parameter::~Parameter()
diff --git a/moses/StaticData.cpp b/moses/StaticData.cpp
index 8bceb69cd..750cdf23c 100644
--- a/moses/StaticData.cpp
+++ b/moses/StaticData.cpp
@@ -529,6 +529,20 @@ SetWeight(m_unknownWordPenaltyProducer, weightUnknownWord);
      cerr << "XML tags opening and closing brackets for XML input are: " << m_xmlBrackets.first << " and " << m_xmlBrackets.second << endl;
   }
 
+  // all features
+  const vector<string> &features = m_parameter->GetParam("feature");
+  for (size_t i = 0; i < features.size(); ++i) {
+    const string &line = features[i];
+    vector<string> toks = Tokenize(line);
+
+    if (toks[0] == "GlobalLexicalModel") {
+      GlobalLexicalModel *model = new GlobalLexicalModel(line);
+      const vector<float> &weights = m_parameter->GetWeights(toks[0], 0);
+      SetWeights(model, weights);
+    }
+
+  }
+
 #ifdef HAVE_SYNLM
 	if (m_parameter->GetParam("slmodel-file").size() > 0) {
 	  if (!LoadSyntacticLanguageModel()) return false;
@@ -539,7 +553,6 @@ SetWeight(m_unknownWordPenaltyProducer, weightUnknownWord);
   if (!LoadLanguageModels()) return false;
   if (!LoadGenerationTables()) return false;
   if (!LoadPhraseTables()) return false;
-  if (!LoadGlobalLexicalModel()) return false;
   if (!LoadGlobalLexicalModelUnlimited()) return false;
   if (!LoadDecodeGraphs()) return false;
   if (!LoadReferences()) return  false;
@@ -765,37 +778,6 @@ bool StaticData::LoadLexicalReorderingModel()
   return true;
 }
 
-bool StaticData::LoadGlobalLexicalModel()
-{
-  const vector<float> &weight = Scan<float>(m_parameter->GetParam("weight-lex"));
-  const vector<string> &file = m_parameter->GetParam("global-lexical-file");
-
-  if (weight.size() != file.size()) {
-    std::cerr << "number of weights and models for the global lexical model does not match ("
-              << weight.size() << " != " << file.size() << ")" << std::endl;
-    return false;
-  }
-
-  for (size_t i = 0; i < weight.size(); i++ ) {
-    vector<string> spec = Tokenize<string>(file[i], " ");
-    if ( spec.size() != 2 ) {
-      std::cerr << "wrong global lexical model specification: " << file[i] << endl;
-      return false;
-    }
-    vector< string > factors = Tokenize(spec[0],"-");
-    if ( factors.size() != 2 ) {
-      std::cerr << "wrong factor definition for global lexical model: " << spec[0] << endl;
-      return false;
-    }
-    vector<FactorType> inputFactors = Tokenize<FactorType>(factors[0],",");
-    vector<FactorType> outputFactors = Tokenize<FactorType>(factors[1],",");
-
-    GlobalLexicalModel *globalLexicalModel = new GlobalLexicalModel( spec[1], inputFactors, outputFactors );
-    SetWeight(globalLexicalModel, weight[i]);
-  }
-  return true;
-}
-
 bool StaticData::LoadGlobalLexicalModelUnlimited()
 {
   const vector<float> &weight = Scan<float>(m_parameter->GetParam("weight-glm"));
diff --git a/moses/StaticData.h b/moses/StaticData.h
index b67318def..86ae58543 100644
--- a/moses/StaticData.h
+++ b/moses/StaticData.h
@@ -52,7 +52,6 @@ namespace Moses
 
 class InputType;
 class LexicalReordering;
-class GlobalLexicalModel;
 class GlobalLexicalModelUnlimited;
 class PhraseDictionaryFeature;
 class SparsePhraseDictionaryFeature;
@@ -250,7 +249,6 @@ protected:
   //! load decoding steps
   bool LoadDecodeGraphs();
   bool LoadLexicalReorderingModel();
-  bool LoadGlobalLexicalModel();
   bool LoadGlobalLexicalModelUnlimited();
   //References used for scoring feature (eg BleuScoreFeature) for online training
   bool LoadReferences();