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Commit 225428d1 authored by Franck Dary's avatar Franck Dary
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Added tokeparser machines with one classifier per task

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UD_any/results/results_tokeparser_multi_10_12_20.txt 0 → 100644
+ 65
− 0
View file @ 225428d1
Corpus Metric F1.score Model
--------------------------------------------------------------------------------
UD_English-EWT LAS 73.62[±0.06]% tokeparser_incr_multi
UD_English-EWT LAS 74.01% tokeparser_base_multi
UD_English-EWT LAS 76.35[±0.11]% tokeparser_seq_multi
UD_English-EWT Lemmas 96.97% tokeparser_seq_multi
UD_English-EWT Lemmas 97.03[±0.06]% tokeparser_incr_multi
UD_English-EWT Lemmas 97.03[±0.10]% tokeparser_base_multi
UD_English-EWT Sentences 69.57[±1.01]% tokeparser_seq_multi
UD_English-EWT Sentences 73.29[±0.41]% tokeparser_incr_multi
UD_English-EWT Sentences 73.94[±0.69]% tokeparser_base_multi
UD_English-EWT Tokens 98.43[±0.01]% tokeparser_seq_multi
UD_English-EWT Tokens 98.44[±0.02]% tokeparser_incr_multi
UD_English-EWT Tokens 98.47[±0.09]% tokeparser_base_multi
UD_English-EWT UAS 76.93[±0.09]% tokeparser_incr_multi
UD_English-EWT UAS 77.34[±0.00]% tokeparser_base_multi
UD_English-EWT UAS 79.66[±0.10]% tokeparser_seq_multi
UD_English-EWT UFeats 95.41[±0.04]% tokeparser_base_multi
UD_English-EWT UFeats 95.41[±0.10]% tokeparser_incr_multi
UD_English-EWT UFeats 95.52[±0.04]% tokeparser_seq_multi
UD_English-EWT UPOS 93.92[±0.12]% tokeparser_base_multi
UD_English-EWT UPOS 93.97[±0.16]% tokeparser_incr_multi
UD_English-EWT UPOS 94.32[±0.01]% tokeparser_seq_multi
UD_English-EWT Words 98.43[±0.01]% tokeparser_seq_multi
UD_English-EWT Words 98.44[±0.02]% tokeparser_incr_multi
UD_English-EWT Words 98.47[±0.09]% tokeparser_base_multi
--------------------------------------------------------------------------------
UD_French-GSD LAS 83.59[±0.34]% tokeparser_incr_multi
UD_French-GSD LAS 84.29[±0.10]% tokeparser_base_multi
UD_French-GSD LAS 85.34[±0.10]% tokeparser_seq_multi
UD_French-GSD Lemmas 97.61% tokeparser_seq_multi
UD_French-GSD Lemmas 97.61[±0.06]% tokeparser_incr_multi
UD_French-GSD Lemmas 97.62[±0.00]% tokeparser_base_multi
UD_French-GSD Sentences 91.17[±1.03]% tokeparser_base_multi
UD_French-GSD Sentences 92.41[±0.52]% tokeparser_seq_multi
UD_French-GSD Sentences 92.84[±0.48]% tokeparser_incr_multi
UD_French-GSD Tokens 99.52[±0.00]% tokeparser_seq_multi
UD_French-GSD Tokens 99.52[±0.04]% tokeparser_base_multi
UD_French-GSD Tokens 99.54[±0.06]% tokeparser_incr_multi
UD_French-GSD UAS 86.44[±0.34]% tokeparser_incr_multi
UD_French-GSD UAS 87.00[±0.01]% tokeparser_base_multi
UD_French-GSD UAS 87.90[±0.04]% tokeparser_seq_multi
UD_French-GSD UFeats 95.47[±0.12]% tokeparser_incr_multi
UD_French-GSD UFeats 95.56[±0.01]% tokeparser_base_multi
UD_French-GSD UFeats 95.82[±0.03]% tokeparser_seq_multi
UD_French-GSD UPOS 96.81[±0.06]% tokeparser_base_multi
UD_French-GSD UPOS 96.84[±0.02]% tokeparser_incr_multi
UD_French-GSD UPOS 96.95[±0.03]% tokeparser_seq_multi
UD_French-GSD Words 99.25[±0.02]% tokeparser_seq_multi
UD_French-GSD Words 99.25[±0.04]% tokeparser_base_multi
UD_French-GSD Words 99.30[±0.08]% tokeparser_incr_multi
UD_any/templates/tokeparser_base_multi/machine.rm 0 → 100644
+ 127
− 0
View file @ 225428d1
Name : Tokenizer, Tagger, Morpho, Lemmatizer, Parser and Segmenter Machine with one classifier for each state
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{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0}
Context : Targets{b.-3 b.-2 b.-1} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
SplitTrans : LSTM{1 1 0.0 1} In{64} Out{64}
InputDropout : 0.3
MLP : {1600 0.3 1600 0.3}
End
Optimizer : Adagrad {0.01 0.000001 0 0.0000000001}
Type : classification
Loss : crossentropy
}
Classifier : tagger
{
Transitions : {tagger,data/tagger.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{ID UPOS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : morpho
{
Transitions : {morpho,data/morpho_whole.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{ID UPOS FEATS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : lemmatizer
{
Transitions : {lemmatizer_rules,data/lemmatizer_rules.ts lemmatizer_case,data/lemmatizer_case.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{ID UPOS FEATS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : parser
{
Transitions : {parser,data/parser_eager_rel_strict.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : segmenter
{
Transitions : {segmenter,data/segmenter.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Splitwords : data/splitwords.ts
Predictions : ID FORM UPOS FEATS LEMMA HEAD DEPREL EOS
Strategy
{
Block : End{cannotMove}
tokenizer tagger ENDWORD 0
tokenizer tagger SPLIT 0
tokenizer tokenizer * 0
tagger morpho * 0
morpho lemmatizer_rules * 0
lemmatizer_rules lemmatizer_case * 0
lemmatizer_case parser * 0
parser segmenter eager_SHIFT 0
parser segmenter eager_RIGHT_rel 0
parser parser * 0
segmenter tokenizer * 1
}
UD_any/templates/tokeparser_incr_multi/machine.rm 0 → 100644
+ 127
− 0
View file @ 225428d1
Name : Tokenizer, Tagger, Morpho, Lemmatizer, Parser and Segmenter Machine with one classifier for each state
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{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
SplitTrans : LSTM{1 1 0.0 1} In{64} Out{64}
InputDropout : 0.3
MLP : {1600 0.3 1600 0.3}
End
Optimizer : Adagrad {0.01 0.000001 0 0.0000000001}
Type : classification
Loss : crossentropy
}
Classifier : tagger
{
Transitions : {tagger,data/tagger.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : morpho
{
Transitions : {morpho,data/morpho_whole.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : lemmatizer
{
Transitions : {lemmatizer_rules,data/lemmatizer_rules.ts lemmatizer_case,data/lemmatizer_case.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : parser
{
Transitions : {parser,data/parser_eager_rel_strict.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : segmenter
{
Transitions : {segmenter,data/segmenter.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 0} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Splitwords : data/splitwords.ts
Predictions : ID FORM UPOS FEATS LEMMA HEAD DEPREL EOS
Strategy
{
Block : End{cannotMove}
tokenizer tagger ENDWORD 0
tokenizer tagger SPLIT 0
tokenizer tokenizer * 0
tagger morpho * 0
morpho lemmatizer_rules * 0
lemmatizer_rules lemmatizer_case * 0
lemmatizer_case parser * 0
parser segmenter eager_SHIFT 0
parser segmenter eager_RIGHT_rel 0
parser parser * 0
segmenter tokenizer * 1
}
UD_any/templates/tokeparser_seq_multi/machine.rm 0 → 100644
+ 131
− 0
View file @ 225428d1
Name : Tokenizer, Tagger, Morpho, Lemmatizer, Parser and Segmenter Machine with one classifier for each state
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{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0}
Context : Targets{b.-3 b.-2 b.-1} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
SplitTrans : LSTM{1 1 0.0 1} In{64} Out{64}
InputDropout : 0.3
MLP : {1600 0.3 1600 0.3}
End
Optimizer : Adagrad {0.01 0.000001 0 0.0000000001}
Type : classification
Loss : crossentropy
}
Classifier : tagger
{
Transitions : {tagger,data/tagger.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 10} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2}
Context : Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2} Columns{ID UPOS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : morpho
{
Transitions : {morpho,data/morpho_whole.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 10} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2}
Context : Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2} Columns{ID UPOS FEATS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : lemmatizer
{
Transitions : {lemmatizer_rules,data/lemmatizer_rules.ts lemmatizer_case,data/lemmatizer_case.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 10} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2}
Context : Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2} Columns{ID UPOS FEATS} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : parser
{
Transitions : {parser,data/parser_eager_rel_strict.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 10} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Classifier : segmenter
{
Transitions : {segmenter,data/segmenter.ts}
LossMultiplier : {}
Network type : Modular
Contextual : Window{-10 10} Columns{FORM} LSTM{1 1 0 1} In{64} Out{128} w2v{FORM,data/FORM.w2v} Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1}
Context : Targets{b.-3 b.-2 b.-1 b.0 b.1 b.2 s.0 s.1 s.2 b.0.0 s.0.0 s.0.-1 s.1.0 s.1.-1 s.2.0 s.2.-1} Columns{EOS ID UPOS FEATS DEPREL} 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} w2v{}
Focused : Column{suffix3:FORM} NbElem{3} Buffer{0} Stack{} LSTM{1 1 0 1} In{64} Out{64} w2v{}
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}
Type : classification
Loss : crossentropy
}
Splitwords : data/splitwords.ts
Predictions : ID FORM UPOS FEATS LEMMA HEAD DEPREL EOS
Strategy
{
Block : End{cannotMove}
tokenizer tokenizer ENDWORD 1
tokenizer tokenizer SPLIT 1
tokenizer tokenizer * 0
Block : End{cannotMove}
tagger tagger * 1
Block : End{cannotMove}
morpho morpho * 1
Block : End{cannotMove}
lemmatizer_rules lemmatizer_case * 0
lemmatizer_case lemmatizer_rules * 1
Block : End{cannotMove}
parser segmenter eager_SHIFT 0
parser segmenter eager_RIGHT_rel 0
parser parser * 0
segmenter parser * 1
}
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