Name : Tokenizer Machine
Classifier : tokenizer
{
	Transitions : {tokenizer,data/tokenizer.ts}
  LossMultiplier : {}
  Network type : Modular
  Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{data/pretrained.w2v} Targets{b.-2 b.-1 b.0 b.1 b.2}
  Context : Targets{b.-2 b.-1 b.0} Columns{ID} LSTM{1 1 0 1} In{64} Out{64} w2v{} 
  Focused : Column{prefix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64}
  Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64}
	RawInput : Left{5} Right{10} LSTM{1 1 0.0 1} In{32} Out{32}
  History : NbElem{10} LSTM{1 1 0 1} In{32} Out{32}
	InputDropout : 0.3
	MLP : {1600 0.3 1600 0.3}
	End
  Optimizer : Adagrad {0.01 0.000001 0 0.0000000001}
}
Splitwords : data/splitwords.ts
Predictions : ID FORM EOS
Strategy
{
	Block : End{cannotMove}
	tokenizer tokenizer ENDWORD 1
	tokenizer tokenizer SPLIT 1
	tokenizer tokenizer * 0
}