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author | Paul Baltescu <pauldb89@gmail.com> | 2013-04-24 17:18:10 +0100 |
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committer | Paul Baltescu <pauldb89@gmail.com> | 2013-04-24 17:18:10 +0100 |
commit | e8b412577b9d3fe2090b9f48443f919cd268c809 (patch) | |
tree | b46a7b51d365519dfb5170d71bac33be6d3e29b9 /training/dtrain/examples/standard | |
parent | d189426a7ea56b71eb6e25ed02a7b0993cfb56a8 (diff) | |
parent | 5aee54869aa19cfe9be965e67a472e94449d16da (diff) |
Merge branch 'master' of https://github.com/redpony/cdec
Diffstat (limited to 'training/dtrain/examples/standard')
-rw-r--r-- | training/dtrain/examples/standard/README | 2 | ||||
-rw-r--r-- | training/dtrain/examples/standard/cdec.ini | 26 | ||||
-rw-r--r-- | training/dtrain/examples/standard/dtrain.ini | 24 | ||||
-rw-r--r-- | training/dtrain/examples/standard/expected-output | 91 | ||||
-rw-r--r-- | training/dtrain/examples/standard/nc-wmt11.de.gz | bin | 0 -> 58324 bytes | |||
-rw-r--r-- | training/dtrain/examples/standard/nc-wmt11.en.gz | bin | 0 -> 49600 bytes | |||
-rw-r--r-- | training/dtrain/examples/standard/nc-wmt11.en.srilm.gz | bin | 0 -> 16017291 bytes | |||
-rw-r--r-- | training/dtrain/examples/standard/nc-wmt11.grammar.gz | bin | 0 -> 1399924 bytes |
8 files changed, 143 insertions, 0 deletions
diff --git a/training/dtrain/examples/standard/README b/training/dtrain/examples/standard/README new file mode 100644 index 00000000..ce37d31a --- /dev/null +++ b/training/dtrain/examples/standard/README @@ -0,0 +1,2 @@ +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 new file mode 100644 index 00000000..e1edc68d --- /dev/null +++ b/training/dtrain/examples/standard/cdec.ini @@ -0,0 +1,26 @@ +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 new file mode 100644 index 00000000..e1072d30 --- /dev/null +++ b/training/dtrain/examples/standard/dtrain.ini @@ -0,0 +1,24 @@ +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 new file mode 100644 index 00000000..7cd09dbf --- /dev/null +++ b/training/dtrain/examples/standard/expected-output @@ -0,0 +1,91 @@ + 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 Binary files differnew file mode 100644 index 00000000..0741fd92 --- /dev/null +++ b/training/dtrain/examples/standard/nc-wmt11.de.gz diff --git a/training/dtrain/examples/standard/nc-wmt11.en.gz b/training/dtrain/examples/standard/nc-wmt11.en.gz Binary files differnew file mode 100644 index 00000000..1c0bd401 --- /dev/null +++ b/training/dtrain/examples/standard/nc-wmt11.en.gz diff --git a/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz Binary files differnew file mode 100644 index 00000000..7ce81057 --- /dev/null +++ b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz diff --git a/training/dtrain/examples/standard/nc-wmt11.grammar.gz b/training/dtrain/examples/standard/nc-wmt11.grammar.gz Binary files differnew file mode 100644 index 00000000..ce4024a1 --- /dev/null +++ b/training/dtrain/examples/standard/nc-wmt11.grammar.gz |