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authorAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
committerAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
commit3d8d656fa7911524e0e6885647173474524e0784 (patch)
tree81b1ee2fcb67980376d03f0aa48e42e53abff222 /training/dtrain/examples/standard
parentbe7f57fdd484e063775d7abf083b9fa4c403b610 (diff)
parent96fedabebafe7a38a6d5928be8fff767e411d705 (diff)
fixed conflicts
Diffstat (limited to 'training/dtrain/examples/standard')
-rw-r--r--training/dtrain/examples/standard/README2
-rw-r--r--training/dtrain/examples/standard/cdec.ini26
-rw-r--r--training/dtrain/examples/standard/dtrain.ini24
-rw-r--r--training/dtrain/examples/standard/expected-output91
-rw-r--r--training/dtrain/examples/standard/nc-wmt11.de.gzbin0 -> 58324 bytes
-rw-r--r--training/dtrain/examples/standard/nc-wmt11.en.gzbin0 -> 49600 bytes
-rw-r--r--training/dtrain/examples/standard/nc-wmt11.en.srilm.gzbin0 -> 16017291 bytes
-rw-r--r--training/dtrain/examples/standard/nc-wmt11.grammar.gzbin0 -> 1399924 bytes
8 files changed, 143 insertions, 0 deletions
diff --git a/training/dtrain/examples/standard/README b/training/dtrain/examples/standard/README
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+Call `dtrain` from this folder with ../../dtrain -c dtrain.ini .
+
diff --git a/training/dtrain/examples/standard/cdec.ini b/training/dtrain/examples/standard/cdec.ini
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+++ b/training/dtrain/examples/standard/cdec.ini
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+formalism=scfg
+add_pass_through_rules=true
+scfg_max_span_limit=15
+intersection_strategy=cube_pruning
+cubepruning_pop_limit=200
+grammar=nc-wmt11.grammar.gz
+feature_function=WordPenalty
+feature_function=KLanguageModel ./nc-wmt11.en.srilm.gz
+# all currently working feature functions for translation:
+# (with those features active that were used in the ACL paper)
+#feature_function=ArityPenalty
+#feature_function=CMR2008ReorderingFeatures
+#feature_function=Dwarf
+#feature_function=InputIndicator
+#feature_function=LexNullJump
+#feature_function=NewJump
+#feature_function=NgramFeatures
+#feature_function=NonLatinCount
+#feature_function=OutputIndicator
+feature_function=RuleIdentityFeatures
+feature_function=RuleSourceBigramFeatures
+feature_function=RuleTargetBigramFeatures
+feature_function=RuleShape
+#feature_function=SourceSpanSizeFeatures
+#feature_function=SourceWordPenalty
+#feature_function=SpanFeatures
diff --git a/training/dtrain/examples/standard/dtrain.ini b/training/dtrain/examples/standard/dtrain.ini
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index 00000000..e1072d30
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+++ b/training/dtrain/examples/standard/dtrain.ini
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+input=./nc-wmt11.de.gz
+refs=./nc-wmt11.en.gz
+output=- # a weights file (add .gz for gzip compression) or STDOUT '-'
+select_weights=VOID # output average (over epochs) weight vector
+decoder_config=./cdec.ini # config for cdec
+# weights for these features will be printed on each iteration
+print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
+# newer version of the grammar extractor use different feature names:
+#print_weights= EgivenFCoherent SampleCountF CountEF MaxLexFgivenE MaxLexEgivenF IsSingletonF IsSingletonFE Glue WordPenalty PassThrough LanguageModel LanguageModel_OOV
+stop_after=10 # stop epoch after 10 inputs
+
+# interesting stuff
+epochs=2 # run over input 2 times
+k=100 # use 100best lists
+N=4 # optimize (approx) BLEU4
+scorer=stupid_bleu # use 'stupid' BLEU+1
+learning_rate=1.0 # learning rate, don't care if gamma=0 (perceptron)
+gamma=0 # use SVM reg
+sample_from=kbest # use kbest lists (as opposed to forest)
+filter=uniq # only unique entries in kbest (surface form)
+pair_sampling=XYX #
+hi_lo=0.1 # 10 vs 80 vs 10 and 80 vs 10 here
+pair_threshold=0 # minimum distance in BLEU (here: > 0)
+loss_margin=0 # update if correctly ranked, but within this margin
diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output
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+++ b/training/dtrain/examples/standard/expected-output
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+ cdec cfg './cdec.ini'
+Loading the LM will be faster if you build a binary file.
+Reading ./nc-wmt11.en.srilm.gz
+----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
+****************************************************************************************************
+ Example feature: Shape_S00000_T00000
+Seeding random number sequence to 2679584485
+
+dtrain
+Parameters:
+ k 100
+ N 4
+ T 2
+ scorer 'stupid_bleu'
+ sample from 'kbest'
+ filter 'uniq'
+ learning rate 1
+ gamma 0
+ loss margin 0
+ faster perceptron 1
+ pairs 'XYX'
+ hi lo 0.1
+ pair threshold 0
+ select weights 'VOID'
+ l1 reg 0 'none'
+ max pairs 4294967295
+ cdec cfg './cdec.ini'
+ input './nc-wmt11.de.gz'
+ refs './nc-wmt11.en.gz'
+ output '-'
+ stop_after 10
+(a dot represents 10 inputs)
+Iteration #1 of 2.
+ . 10
+Stopping after 10 input sentences.
+WEIGHTS
+ Glue = -576
+ WordPenalty = +417.79
+ LanguageModel = +5117.5
+ LanguageModel_OOV = -1307
+ PhraseModel_0 = -1612
+ PhraseModel_1 = -2159.6
+ PhraseModel_2 = -677.36
+ PhraseModel_3 = +2663.8
+ PhraseModel_4 = -1025.9
+ PhraseModel_5 = -8
+ PhraseModel_6 = +70
+ PassThrough = -1455
+ ---
+ 1best avg score: 0.27697 (+0.27697)
+ 1best avg model score: -47918 (-47918)
+ avg # pairs: 581.9 (meaningless)
+ avg # rank err: 581.9
+ avg # margin viol: 0
+ non0 feature count: 703
+ avg list sz: 90.9
+ avg f count: 100.09
+(time 0.25 min, 1.5 s/S)
+
+Iteration #2 of 2.
+ . 10
+WEIGHTS
+ Glue = -622
+ WordPenalty = +898.56
+ LanguageModel = +8066.2
+ LanguageModel_OOV = -2590
+ PhraseModel_0 = -4335.8
+ PhraseModel_1 = -5864.4
+ PhraseModel_2 = -1729.8
+ PhraseModel_3 = +2831.9
+ PhraseModel_4 = -5384.8
+ PhraseModel_5 = +1449
+ PhraseModel_6 = +480
+ PassThrough = -2578
+ ---
+ 1best avg score: 0.37119 (+0.094226)
+ 1best avg model score: -1.3174e+05 (-83822)
+ avg # pairs: 584.1 (meaningless)
+ avg # rank err: 584.1
+ avg # margin viol: 0
+ non0 feature count: 1115
+ avg list sz: 91.3
+ avg f count: 90.755
+(time 0.3 min, 1.8 s/S)
+
+Writing weights file to '-' ...
+done
+
+---
+Best iteration: 2 [SCORE 'stupid_bleu'=0.37119].
+This took 0.55 min.
diff --git a/training/dtrain/examples/standard/nc-wmt11.de.gz b/training/dtrain/examples/standard/nc-wmt11.de.gz
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diff --git a/training/dtrain/examples/standard/nc-wmt11.en.gz b/training/dtrain/examples/standard/nc-wmt11.en.gz
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diff --git a/training/dtrain/examples/standard/nc-wmt11.grammar.gz b/training/dtrain/examples/standard/nc-wmt11.grammar.gz
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