From dbc66cd3944321961c5e11d5254fd914f05a98ad Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 18 Jan 2013 14:36:51 +0100 Subject: parallelize enhancements --- training/dtrain/test/parallelize/in | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) (limited to 'training/dtrain/test/parallelize/in') diff --git a/training/dtrain/test/parallelize/in b/training/dtrain/test/parallelize/in index a312809f..3b7dec39 100644 --- a/training/dtrain/test/parallelize/in +++ b/training/dtrain/test/parallelize/in @@ -1,10 +1,10 @@ -barack obama erhält als vierter us @-@ präsident den frieden nobelpreis -der amerikanische präsident barack obama kommt für 26 stunden nach oslo , norwegen , um hier als vierter us @-@ präsident in der geschichte den frieden nobelpreis entgegen zunehmen . -darüber hinaus erhält er das diplom sowie die medaille und einen scheck über 1,4 mio. dollar für seine außer gewöhnlichen bestrebungen um die intensivierung der welt diplomatie und zusammen arbeit unter den völkern . -der chef des weißen hauses kommt morgen zusammen mit seiner frau michelle in der nordwegischen metropole an und wird die ganze zeit beschäftigt sein . -zunächst stattet er dem nobel @-@ institut einen besuch ab , wo er überhaupt zum ersten mal mit den fünf ausschuss mitglieder zusammen trifft , die ihn im oktober aus 172 leuten und 33 organisationen gewählt haben . -das präsidenten paar hat danach ein treffen mit dem norwegischen könig harald v. und königin sonja eingeplant . -nachmittags erreicht dann der besuch seinen höhepunkt mit der zeremonie , bei der obama den prestige preis übernimmt . -diesen erhält er als der vierte us @-@ präsident , aber erst als der dritte , der den preis direkt im amt entgegen nimmt . -das weiße haus avisierte schon , dass obama bei der übernahme des preises über den afghanistan krieg sprechen wird . -der präsident will diesem thema nicht ausweichen , weil er weiß , dass er den preis als ein präsident übernimmt , der zur zeit krieg in zwei ländern führt . +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . -- cgit v1.2.3 From cf67d34738e1487f75739dc1e027b1864a06513b Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Fri, 15 Mar 2013 11:31:18 +0100 Subject: overhauled ruby scripts and examples --- training/dtrain/dtrain.cc | 2 - training/dtrain/examples/parallelized/README | 5 + training/dtrain/examples/parallelized/cdec.ini | 22 + training/dtrain/examples/parallelized/dtrain.ini | 16 + .../examples/parallelized/grammar/grammar.out.0.gz | Bin 0 -> 8318 bytes .../examples/parallelized/grammar/grammar.out.1.gz | Bin 0 -> 358560 bytes .../examples/parallelized/grammar/grammar.out.2.gz | Bin 0 -> 1014466 bytes .../examples/parallelized/grammar/grammar.out.3.gz | Bin 0 -> 391811 bytes .../examples/parallelized/grammar/grammar.out.4.gz | Bin 0 -> 149590 bytes .../examples/parallelized/grammar/grammar.out.5.gz | Bin 0 -> 537024 bytes .../examples/parallelized/grammar/grammar.out.6.gz | Bin 0 -> 291286 bytes .../examples/parallelized/grammar/grammar.out.7.gz | Bin 0 -> 1038140 bytes .../examples/parallelized/grammar/grammar.out.8.gz | Bin 0 -> 419889 bytes .../examples/parallelized/grammar/grammar.out.9.gz | Bin 0 -> 409140 bytes training/dtrain/examples/parallelized/in | 10 + training/dtrain/examples/parallelized/refs | 10 + training/dtrain/examples/parallelized/work/out.0.0 | 61 + training/dtrain/examples/parallelized/work/out.0.1 | 62 + training/dtrain/examples/parallelized/work/out.1.0 | 61 + training/dtrain/examples/parallelized/work/out.1.1 | 62 + .../dtrain/examples/parallelized/work/shard.0.0.in | 5 + .../examples/parallelized/work/shard.0.0.refs | 5 + .../dtrain/examples/parallelized/work/shard.1.0.in | 5 + .../examples/parallelized/work/shard.1.0.refs | 5 + .../dtrain/examples/parallelized/work/weights.0 | 12 + .../dtrain/examples/parallelized/work/weights.0.0 | 12 + .../dtrain/examples/parallelized/work/weights.0.1 | 12 + .../dtrain/examples/parallelized/work/weights.1 | 12 + .../dtrain/examples/parallelized/work/weights.1.0 | 11 + .../dtrain/examples/parallelized/work/weights.1.1 | 12 + training/dtrain/examples/standard/README | 2 + training/dtrain/examples/standard/cdec.ini | 26 + training/dtrain/examples/standard/dtrain.ini | 24 + training/dtrain/examples/standard/expected-output | 1206 ++++++++++++++++++++ training/dtrain/examples/standard/nc-wmt11.de.gz | Bin 0 -> 58324 bytes training/dtrain/examples/standard/nc-wmt11.en.gz | Bin 0 -> 49600 bytes .../dtrain/examples/standard/nc-wmt11.en.srilm.gz | Bin 0 -> 16017291 bytes .../dtrain/examples/standard/nc-wmt11.grammar.gz | Bin 0 -> 1399924 bytes training/dtrain/examples/toy/cdec.ini | 3 + training/dtrain/examples/toy/dtrain.ini | 13 + training/dtrain/examples/toy/expected-output | 77 ++ training/dtrain/examples/toy/grammar.gz | Bin 0 -> 219 bytes training/dtrain/examples/toy/src | 2 + training/dtrain/examples/toy/tgt | 2 + training/dtrain/lplp.rb | 18 +- training/dtrain/parallelize.rb | 26 +- training/dtrain/test/example/README | 8 - training/dtrain/test/example/cdec.ini | 25 - training/dtrain/test/example/dtrain.ini | 22 - training/dtrain/test/example/expected-output | 89 -- training/dtrain/test/parallelize/README | 5 - training/dtrain/test/parallelize/cdec.ini | 22 - training/dtrain/test/parallelize/dtrain.ini | 15 - .../dtrain/test/parallelize/g/grammar.out.0.gz | Bin 8318 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.1.gz | Bin 358560 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.2.gz | Bin 1014466 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.3.gz | Bin 391811 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.4.gz | Bin 149590 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.5.gz | Bin 537024 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.6.gz | Bin 291286 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.7.gz | Bin 1038140 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.8.gz | Bin 419889 -> 0 bytes .../dtrain/test/parallelize/g/grammar.out.9.gz | Bin 409140 -> 0 bytes training/dtrain/test/parallelize/in | 10 - training/dtrain/test/parallelize/refs | 10 - training/dtrain/test/toy/cdec.ini | 2 - training/dtrain/test/toy/dtrain.ini | 12 - training/dtrain/test/toy/input | 2 - 68 files changed, 1771 insertions(+), 252 deletions(-) create mode 100644 training/dtrain/examples/parallelized/README create mode 100644 training/dtrain/examples/parallelized/cdec.ini create mode 100644 training/dtrain/examples/parallelized/dtrain.ini create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.0.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.1.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.2.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.3.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.4.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.5.gz create mode 100644 training/dtrain/examples/parallelized/grammar/grammar.out.6.gz create 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char** argv) time_t start, end; time(&start); - igzstream grammar_buf_in; - if (t > 0) grammar_buf_in.open(grammar_buf_fn.c_str()); score_t score_sum = 0.; score_t model_sum(0); unsigned ii = 0, rank_errors = 0, margin_violations = 0, npairs = 0, f_count = 0, list_sz = 0; diff --git a/training/dtrain/examples/parallelized/README b/training/dtrain/examples/parallelized/README new file mode 100644 index 00000000..89715105 --- /dev/null +++ b/training/dtrain/examples/parallelized/README @@ -0,0 +1,5 @@ +run for example + ../../parallelize.rb ./dtrain.ini 4 false 2 2 ./in ./refs + +final weights will be in the file work/weights.3 + diff --git a/training/dtrain/examples/parallelized/cdec.ini b/training/dtrain/examples/parallelized/cdec.ini new file mode 100644 index 00000000..e43ba1c4 --- /dev/null +++ b/training/dtrain/examples/parallelized/cdec.ini @@ -0,0 +1,22 @@ +formalism=scfg +add_pass_through_rules=true +intersection_strategy=cube_pruning +cubepruning_pop_limit=200 +scfg_max_span_limit=15 +feature_function=WordPenalty +feature_function=KLanguageModel ../example/nc-wmt11.en.srilm.gz +#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=RuleNgramFeatures +#feature_function=RuleShape +#feature_function=SourceSpanSizeFeatures +#feature_function=SourceWordPenalty +#feature_function=SpanFeatures diff --git a/training/dtrain/examples/parallelized/dtrain.ini b/training/dtrain/examples/parallelized/dtrain.ini new file mode 100644 index 00000000..f19ef891 --- /dev/null +++ b/training/dtrain/examples/parallelized/dtrain.ini @@ -0,0 +1,16 @@ +k=100 +N=4 +learning_rate=0.0001 +gamma=0 +loss_margin=1.0 +epochs=1 +scorer=stupid_bleu +sample_from=kbest +filter=uniq +pair_sampling=XYX +hi_lo=0.1 +select_weights=last +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=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +decoder_config=cdec.ini diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz new file mode 100644 index 00000000..1e28a24b Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz new file mode 100644 index 00000000..372f5675 Binary files /dev/null and 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mode 100644 index 00000000..ebf6bd0c Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.8.gz differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz new file mode 100644 index 00000000..c1791059 Binary files /dev/null and b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz differ diff --git a/training/dtrain/examples/parallelized/in b/training/dtrain/examples/parallelized/in new file mode 100644 index 00000000..51d01fe7 --- /dev/null +++ b/training/dtrain/examples/parallelized/in @@ -0,0 +1,10 @@ +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/examples/parallelized/refs b/training/dtrain/examples/parallelized/refs new file mode 100644 index 00000000..632e27b0 --- /dev/null +++ b/training/dtrain/examples/parallelized/refs @@ -0,0 +1,10 @@ +europe 's divided racial house +a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . +while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . +mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . +it will not , as america 's racial history clearly shows . +race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . +this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/examples/parallelized/work/out.0.0 b/training/dtrain/examples/parallelized/work/out.0.0 new file mode 100644 index 00000000..7a00ed0f --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.0.0 @@ -0,0 +1,61 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/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 +**************************************************************************************************** +Seeding random number sequence to 3121929377 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.0.0.in' + refs 'work/shard.0.0.refs' + output 'work/weights.0.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = +0.2663 + WordPenalty = -0.0079042 + LanguageModel = +0.44782 + LanguageModel_OOV = -0.0401 + PhraseModel_0 = -0.193 + PhraseModel_1 = +0.71321 + PhraseModel_2 = +0.85196 + PhraseModel_3 = -0.43986 + PhraseModel_4 = -0.44803 + PhraseModel_5 = -0.0538 + PhraseModel_6 = -0.1788 + PassThrough = -0.1477 + --- + 1best avg score: 0.17521 (+0.17521) + 1best avg model score: 21.556 (+21.556) + avg # pairs: 1671.2 + avg # rank err: 1118.6 + avg # margin viol: 552.6 + non0 feature count: 12 + avg list sz: 100 + avg f count: 11.32 +(time 0.37 min, 4.4 s/S) + +Writing weights file to 'work/weights.0.0' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.17521]. +This took 0.36667 min. diff --git a/training/dtrain/examples/parallelized/work/out.0.1 b/training/dtrain/examples/parallelized/work/out.0.1 new file mode 100644 index 00000000..e2bd6649 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.0.1 @@ -0,0 +1,62 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/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 +**************************************************************************************************** +Seeding random number sequence to 2767202922 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.0.0.in' + refs 'work/shard.0.0.refs' + output 'work/weights.0.1' + weights in 'work/weights.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.2699 + WordPenalty = +0.080605 + LanguageModel = -0.026572 + LanguageModel_OOV = -0.30025 + PhraseModel_0 = -0.32076 + PhraseModel_1 = +0.67451 + PhraseModel_2 = +0.92 + PhraseModel_3 = -0.36402 + PhraseModel_4 = -0.592 + PhraseModel_5 = -0.0269 + PhraseModel_6 = -0.28755 + PassThrough = -0.33285 + --- + 1best avg score: 0.26638 (+0.26638) + 1best avg model score: 53.197 (+53.197) + avg # pairs: 2028.6 + avg # rank err: 998.2 + avg # margin viol: 918.8 + non0 feature count: 12 + avg list sz: 100 + avg f count: 10.496 +(time 0.32 min, 3.8 s/S) + +Writing weights file to 'work/weights.0.1' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.26638]. +This took 0.31667 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.0 b/training/dtrain/examples/parallelized/work/out.1.0 new file mode 100644 index 00000000..6e790e38 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.1.0 @@ -0,0 +1,61 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/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 +**************************************************************************************************** +Seeding random number sequence to 1432415010 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.1.0.in' + refs 'work/shard.1.0.refs' + output 'work/weights.1.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.3815 + WordPenalty = +0.20064 + LanguageModel = +0.95304 + LanguageModel_OOV = -0.264 + PhraseModel_0 = -0.22362 + PhraseModel_1 = +0.12254 + PhraseModel_2 = +0.26328 + PhraseModel_3 = +0.38018 + PhraseModel_4 = -0.48654 + PhraseModel_5 = +0 + PhraseModel_6 = -0.3645 + PassThrough = -0.2216 + --- + 1best avg score: 0.10863 (+0.10863) + 1best avg model score: -4.9841 (-4.9841) + avg # pairs: 1345.4 + avg # rank err: 822.4 + avg # margin viol: 501 + non0 feature count: 11 + avg list sz: 100 + avg f count: 11.814 +(time 0.45 min, 5.4 s/S) + +Writing weights file to 'work/weights.1.0' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.10863]. +This took 0.45 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1 new file mode 100644 index 00000000..0b984761 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/out.1.1 @@ -0,0 +1,62 @@ + cdec cfg 'cdec.ini' +Loading the LM will be faster if you build a binary file. +Reading ../example/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 +**************************************************************************************************** +Seeding random number sequence to 1771918374 + +dtrain +Parameters: + k 100 + N 4 + T 1 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 0.0001 + gamma 0 + loss margin 1 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'work/shard.1.0.in' + refs 'work/shard.1.0.refs' + output 'work/weights.1.1' + weights in 'work/weights.0' +(a dot represents 10 inputs) +Iteration #1 of 1. + 5 +WEIGHTS + Glue = -0.3178 + WordPenalty = +0.11092 + LanguageModel = +0.17269 + LanguageModel_OOV = -0.13485 + PhraseModel_0 = -0.45371 + PhraseModel_1 = +0.38789 + PhraseModel_2 = +0.75311 + PhraseModel_3 = -0.38163 + PhraseModel_4 = -0.58817 + PhraseModel_5 = -0.0269 + PhraseModel_6 = -0.27315 + PassThrough = -0.16745 + --- + 1best avg score: 0.13169 (+0.13169) + 1best avg model score: 24.226 (+24.226) + avg # pairs: 1951.2 + avg # rank err: 985.4 + avg # margin viol: 951 + non0 feature count: 12 + avg list sz: 100 + avg f count: 11.224 +(time 0.42 min, 5 s/S) + +Writing weights file to 'work/weights.1.1' ... +done + +--- +Best iteration: 1 [SCORE 'stupid_bleu'=0.13169]. +This took 0.41667 min. diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.in b/training/dtrain/examples/parallelized/work/shard.0.0.in new file mode 100644 index 00000000..92f9c78e --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.0.0.in @@ -0,0 +1,5 @@ +europas nach rassen geteiltes haus +ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . +der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . +während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . +eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . diff --git a/training/dtrain/examples/parallelized/work/shard.0.0.refs b/training/dtrain/examples/parallelized/work/shard.0.0.refs new file mode 100644 index 00000000..bef68fee --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.0.0.refs @@ -0,0 +1,5 @@ +europe 's divided racial house +a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . +while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . +an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.in b/training/dtrain/examples/parallelized/work/shard.1.0.in new file mode 100644 index 00000000..b7695ce7 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.1.0.in @@ -0,0 +1,5 @@ +die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . +das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . +die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . +der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . +genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0.refs b/training/dtrain/examples/parallelized/work/shard.1.0.refs new file mode 100644 index 00000000..6076f6d5 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/shard.1.0.refs @@ -0,0 +1,5 @@ +mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . +it will not , as america 's racial history clearly shows . +race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . +the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . +this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/examples/parallelized/work/weights.0 b/training/dtrain/examples/parallelized/work/weights.0 new file mode 100644 index 00000000..ddd595a8 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0 @@ -0,0 +1,12 @@ +LanguageModel 0.7004298992212881 +PhraseModel_2 0.5576194336478857 +PhraseModel_1 0.41787318415343155 +PhraseModel_4 -0.46728502545635164 +PhraseModel_3 -0.029839521598455515 +Glue -0.05760000000000068 +PhraseModel_6 -0.2716499999999978 +PhraseModel_0 -0.20831031065605327 +LanguageModel_OOV -0.15205000000000077 +PassThrough -0.1846500000000006 +WordPenalty 0.09636994553433414 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.0.0 b/training/dtrain/examples/parallelized/work/weights.0.0 new file mode 100644 index 00000000..c9370b18 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0.0 @@ -0,0 +1,12 @@ +WordPenalty -0.0079041595706392243 +LanguageModel 0.44781580828279532 +LanguageModel_OOV -0.04010000000000042 +Glue 0.26629999999999948 +PhraseModel_0 -0.19299677809125185 +PhraseModel_1 0.71321026861732773 +PhraseModel_2 0.85195540993310537 +PhraseModel_3 -0.43986310822842656 +PhraseModel_4 -0.44802855630415955 +PhraseModel_5 -0.053800000000000514 +PhraseModel_6 -0.17879999999999835 +PassThrough -0.14770000000000036 diff --git a/training/dtrain/examples/parallelized/work/weights.0.1 b/training/dtrain/examples/parallelized/work/weights.0.1 new file mode 100644 index 00000000..8fad3de8 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.0.1 @@ -0,0 +1,12 @@ +WordPenalty 0.080605055841244472 +LanguageModel -0.026571720531022844 +LanguageModel_OOV -0.30024999999999141 +Glue -0.26989999999999842 +PhraseModel_2 0.92000295209089566 +PhraseModel_1 0.67450748692470841 +PhraseModel_4 -0.5920000014976784 +PhraseModel_3 -0.36402437203127397 +PhraseModel_6 -0.28754999999999603 +PhraseModel_0 -0.32076244202907672 +PassThrough -0.33284999999999004 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.1 b/training/dtrain/examples/parallelized/work/weights.1 new file mode 100644 index 00000000..03058a16 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1 @@ -0,0 +1,12 @@ +PhraseModel_2 0.8365578543552836 +PhraseModel_4 -0.5900840266009169 +PhraseModel_1 0.5312000609786991 +PhraseModel_0 -0.3872342271319619 +PhraseModel_3 -0.3728279676912084 +Glue -0.2938500000000036 +PhraseModel_6 -0.2803499999999967 +PassThrough -0.25014999999999626 +LanguageModel_OOV -0.21754999999999702 +LanguageModel 0.07306061161169894 +WordPenalty 0.09576193325966899 +PhraseModel_5 -0.026900000000000257 diff --git a/training/dtrain/examples/parallelized/work/weights.1.0 b/training/dtrain/examples/parallelized/work/weights.1.0 new file mode 100644 index 00000000..6a6a65c1 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1.0 @@ -0,0 +1,11 @@ +WordPenalty 0.20064405063930751 +LanguageModel 0.9530439901597807 +LanguageModel_OOV -0.26400000000000112 +Glue -0.38150000000000084 +PhraseModel_0 -0.22362384322085468 +PhraseModel_1 0.12253609968953538 +PhraseModel_2 0.26328345736266612 +PhraseModel_3 0.38018406503151553 +PhraseModel_4 -0.48654149460854373 +PhraseModel_6 -0.36449999999999722 +PassThrough -0.22160000000000085 diff --git a/training/dtrain/examples/parallelized/work/weights.1.1 b/training/dtrain/examples/parallelized/work/weights.1.1 new file mode 100644 index 00000000..f56ea4a2 --- /dev/null +++ b/training/dtrain/examples/parallelized/work/weights.1.1 @@ -0,0 +1,12 @@ +WordPenalty 0.1109188106780935 +LanguageModel 0.17269294375442074 +LanguageModel_OOV -0.13485000000000266 +Glue -0.3178000000000088 +PhraseModel_2 0.75311275661967159 +PhraseModel_1 0.38789263503268989 +PhraseModel_4 -0.58816805170415531 +PhraseModel_3 -0.38163156335114284 +PhraseModel_6 -0.27314999999999739 +PhraseModel_0 -0.45370601223484697 +PassThrough -0.16745000000000249 +PhraseModel_5 -0.026900000000000257 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..a05e9c29 --- /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=avg # 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= EgivenFCoherent SampleCountF CountEF MaxLexFgivenE MaxLexEgivenF IsSingletonF IsSingletonFE Glue WordPenalty PassThrough LanguageModel LanguageModel_OOV +# newer version of the grammar extractor use different feature names: +#print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +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 diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output new file mode 100644 index 00000000..8d72f4c3 --- /dev/null +++ b/training/dtrain/examples/standard/expected-output @@ -0,0 +1,1206 @@ + 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 1511823303 + +dtrain +Parameters: + k 100 + N 4 + T 2 + scorer 'stupid_bleu' + sample from 'kbest' + filter 'uniq' + learning rate 1 + gamma 0 + loss margin 0 + pairs 'XYX' + hi lo 0.1 + pair threshold 0 + select weights 'avg' + 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 + EgivenFCoherent = +0 + SampleCountF = +0 + CountEF = +0 + MaxLexFgivenE = +0 + MaxLexEgivenF = +0 + IsSingletonF = +0 + IsSingletonFE = +0 + Glue = -576 + WordPenalty = +417.79 + PassThrough = -1455 + LanguageModel = +5117.5 + LanguageModel_OOV = -1307 + --- + 1best avg score: 0.27697 (+0.27697) + 1best avg model score: -47918 (-47918) + avg # pairs: 1129.8 + avg # rank err: 581.9 + avg # margin viol: 0 + non0 feature count: 703 + avg list sz: 90.9 + avg f count: 100.09 +(time 0.33 min, 2 s/S) + +Iteration #2 of 2. + . 10 +WEIGHTS + EgivenFCoherent = +0 + SampleCountF = +0 + CountEF = +0 + MaxLexFgivenE = +0 + MaxLexEgivenF = +0 + IsSingletonF = +0 + IsSingletonFE = +0 + Glue = -622 + WordPenalty = +898.56 + PassThrough = -2578 + LanguageModel = +8066.2 + LanguageModel_OOV = -2590 + --- + 1best avg score: 0.37119 (+0.094226) + 1best avg model score: -1.3174e+05 (-83822) + avg # pairs: 1214.9 + avg # rank err: 584.1 + avg # margin viol: 0 + non0 feature count: 1115 + avg list sz: 91.3 + avg f count: 90.755 +(time 0.27 min, 1.6 s/S) + +Writing weights file to '-' ... +R:X:NX_sein:N1_its 61.5 +WordPenalty 658.17328732437022 +LanguageModel 6591.8747593425214 +LanguageModel_OOV -1948.5 +R:X:das_NX:this_N1 12 +R:X:NX_sein_NX:N1_from_ever_being_able_to_N2 30 +R:X:NX_bemühen:N1_effort 2.5 +RBS:X_bemühen 2.5 +R:X:sich:sich -17.5 +RBT:_sich -17.5 +RBT:sich_ -17.5 +RBS:sich_X 17.5 +RBS:_als 147 +RBS:als_ -59 +Shape_S10000_T10000 -1711.5 +RBT:_when 84 +R:X:zum_NX:as_N1 -134 +RBS:_zum -30 +R:X:als_NX:as_N1 63 +R:X:zum_NX:'s_N1 33 +R:X:zum_NX:the_N1 24 +RBS:X_sich -12 +R:X:zum_NX:to_N1 -36 +R:X:zum_NX:with_the_N1 83 +R:X:NX_zum:N1_the -66 +R:X:NX_zum:N1_to 66 +R:X:als_NX:when_N1 84 +RBS:als_das 59 +RBS:X_das -104 +R:X:NX_das:N1_a 28.5 +R:X:er_sich_NX:he_N1 86.5 +RBS:er_sich 29.5 +R:X:NX_das:N1_it -6 +R:X:er_sich_NX:him_N1 -57 +RBT:_declared -488 +R:X:NX_das:N1_that -5 +RBT:declared_ -8 +R:X:NX_das:N1_the -57 +R:X:NX_das:N1_this -17 +R:X:NX_.:N1_. -323 +RBS:X_. 134 +R:X:NX_.:N1_debate_. 6.5 +R:X:NX_.:N1_disruptions_. -14.5 +R:X:NX_.:N1_established_. 7.5 +R:X:NX_.:N1_heading_. 17 +R:X:NX_.:N1_on_. 94 +R:X:NX_.:N1_pace_. 51.5 +R:X:NX_das_NX:N1_a_growing_N2 -45 +R:X:general:general -23.5 +R:X:NX_.:N1_politics_. 84 +R:X:NX_das_NX:N1_a_N2 -0.5 +R:X:NX_.:N1_power_. -99.5 +RBS:general_ -23.5 +R:X:NX_.:N1_-_range_missiles_. -28.5 +Shape_S11000_T11000 40 +RBT:general_ -23.5 +RBT:_. -645 +R:X:betrat:entered -91 +R:X:NX_.:N1_war_. 68.5 +RBS:_betrat 23.5 +Shape_S11000_T01100 475.5 +RBT:_entered -91 +RBT:entered_ -91 +R:X:NX_das_NX:N1_the_N2 -2 +R:X:betrat:betrat 114.5 +RBT:_betrat 114.5 +RBT:betrat_ 114.5 +R:X:12:12 79 +R:X:maßnahmen:action 24 +R:X:.:. -566 +RBS:12_ 79 +RBS:_maßnahmen -44.5 +RBS:_. -645 +RBT:._ -566 +RBT:_action 24 +RBT:12_ 79 +RBT:action_ 24 +R:X:maßnahmen:actions -13 +RBT:_actions -13 +RBT:actions_ -13 +R:X:12_NX:12_N1 -79 +RBT:declared_a -428 +RBS:12_X -79 +RBT:a_state -428 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+R:X:taliban:taliban -251.5 +RBS:_taliban -223.5 +RBS:taliban_ -157.5 +R:X:zu:with -6 +R:X:verzweifelten:desperate 28.5 +RBT:_taliban -205.5 +RBT:_desperate 28.5 +RBT:taliban_ -107 +RBT:desperate_ 28.5 +R:X:taliban_NX:taliban_N1 28 +R:X:verzweifelten:verzweifelten -28.5 +RBS:taliban_X 157.5 +R:X:NX_zu:to_N1 -229 +RBT:_verzweifelten -28.5 +R:X:den_taliban:the_taliban 144.5 +RBT:verzweifelten_ -28.5 +RBS:den_taliban 223.5 +RBT:the_taliban 144.5 +R:X:NX_zu:N1_for -152 +R:X:NX_zu:N1_in -6 +R:X:NX_zu:N1_is 251 +R:X:NX_zu:N1_of -49.5 +RBS:_dem 22 +RBT:_its 458 +RBT:its_ 337 +R:X:NX_den_taliban:N1_taliban -50.5 +R:X:NX_den_taliban_NX:N1_taliban_N2 -2.5 +R:X:NX_den_taliban_NX:N2_N1_taliban 132 +R:X:erklärte:declared -8 +RBS:_erklärte -185.5 +RBS:erklärte_ -124.5 +RBT:_declaring -9 +R:X:erklärte:erklärte -116.5 +RBT:_erklärte -116.5 +RBT:erklärte_ -116.5 +R:X:erklärte_NX:declared_N1 -52 +RBS:erklärte_X -61 +RBS:jener_ -62.5 +R:X:erklärte_NX:declaring_N1 -9 +RBS:erklärte_, 185.5 +R:X:NX_jener:N1_of -62.5 +R:X:dem_NX:the_N1 22 +R:X:verkaufen:sell -153 +RBS:_verkaufen -153 +RBS:verkaufen_ -140.5 +RBT:sell_ -153 +RBS:bereit_ 86 +RBS:zu_verkaufen 153 +RBS:_bemühen -2.5 +R:X:bereit:bereit 86 +RBT:_bereit 86 +RBT:bereit_ 86 +R:X:bereit_NX:ready_N1 -31 +RBS:bereit_X -86 +R:X:bereit_NX:N1_ready -55 +RBS:X_zum 30 +R:X:bemühen:bemühen -2.5 +R:X:NX_erklärte_,:N1_, 110 +RBT:_bemühen -2.5 +RBS:X_erklärte 185.5 +RBT:bemühen_ -2.5 +R:X:NX_erklärte_,_NX:N1_,_N2 75.5 +RBS:in_X 22 +RBS:_sich -17.5 +R:X:NX_zu_verkaufen:sell_N1 12.5 +RBS:sich_ -17.5 +R:X:NX_zum_NX:N2_to_further_N1 30 +RBS:_das 45 +RBS:das_ 2.5 +RBT:to_further 30 +RBT:_it -381 +RBT:it_ 3 +RBT:_so 172.5 +RBT:so_ -74.5 +RBT:_this 9.5 +RBT:this_ -11.5 +RBS:X_dem -22 +R:X:das_NX:a_growing_N1 77 +RBS:das_X -2.5 +RBT:a_growing -41 +R:X:das_NX:be_N1 169 +R:X:das_NX:its_N1 -95 +R:X:das_NX:so_N1 -38 +RBS:X_sein 91.5 +R:X:das_NX:the_N1 -80 +done + +--- +Best iteration: 2 [SCORE 'stupid_bleu'=0.37119]. +This took 0.6 min. diff --git a/training/dtrain/examples/standard/nc-wmt11.de.gz b/training/dtrain/examples/standard/nc-wmt11.de.gz new file mode 100644 index 00000000..0741fd92 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.de.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.en.gz b/training/dtrain/examples/standard/nc-wmt11.en.gz new file mode 100644 index 00000000..1c0bd401 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.en.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz new file mode 100644 index 00000000..7ce81057 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz differ diff --git a/training/dtrain/examples/standard/nc-wmt11.grammar.gz b/training/dtrain/examples/standard/nc-wmt11.grammar.gz new file mode 100644 index 00000000..ce4024a1 Binary files /dev/null and b/training/dtrain/examples/standard/nc-wmt11.grammar.gz differ diff --git a/training/dtrain/examples/toy/cdec.ini b/training/dtrain/examples/toy/cdec.ini new file mode 100644 index 00000000..b14f4819 --- /dev/null +++ b/training/dtrain/examples/toy/cdec.ini @@ -0,0 +1,3 @@ +formalism=scfg +add_pass_through_rules=true +grammar=grammar.gz diff --git a/training/dtrain/examples/toy/dtrain.ini b/training/dtrain/examples/toy/dtrain.ini new file mode 100644 index 00000000..cd715f26 --- /dev/null +++ b/training/dtrain/examples/toy/dtrain.ini @@ -0,0 +1,13 @@ +decoder_config=cdec.ini +input=src +refs=tgt +output=- +print_weights=logp shell_rule house_rule small_rule little_rule PassThrough +k=4 +N=4 +epochs=2 +scorer=bleu +sample_from=kbest +filter=uniq +pair_sampling=all +learning_rate=1 diff --git a/training/dtrain/examples/toy/expected-output b/training/dtrain/examples/toy/expected-output new file mode 100644 index 00000000..1da2aadd --- /dev/null +++ b/training/dtrain/examples/toy/expected-output @@ -0,0 +1,77 @@ +Warning: hi_lo only works with pair_sampling XYX. + cdec cfg 'cdec.ini' +Seeding random number sequence to 1664825829 + +dtrain +Parameters: + k 4 + N 4 + T 2 + scorer 'bleu' + sample from 'kbest' + filter 'uniq' + learning rate 1 + gamma 0 + loss margin 0 + pairs 'all' + pair threshold 0 + select weights 'last' + l1 reg 0 'none' + max pairs 4294967295 + cdec cfg 'cdec.ini' + input 'src' + refs 'tgt' + output '-' +(a dot represents 10 inputs) +Iteration #1 of 2. + 2 +WEIGHTS + logp = +0 + shell_rule = -1 + house_rule = +2 + small_rule = -2 + little_rule = +3 + PassThrough = -5 + --- + 1best avg score: 0.5 (+0.5) + 1best avg model score: 2.5 (+2.5) + avg # pairs: 4 + avg # rank err: 1.5 + avg # margin viol: 0 + non0 feature count: 6 + avg list sz: 4 + avg f count: 2.875 +(time 0 min, 0 s/S) + +Iteration #2 of 2. + 2 +WEIGHTS + logp = +0 + shell_rule = -1 + house_rule = +2 + small_rule = -2 + little_rule = +3 + PassThrough = -5 + --- + 1best avg score: 1 (+0.5) + 1best avg model score: 5 (+2.5) + avg # pairs: 5 + avg # rank err: 0 + avg # margin viol: 0 + non0 feature count: 6 + avg list sz: 4 + avg f count: 3 +(time 0 min, 0 s/S) + +Writing weights file to '-' ... +house_rule 2 +little_rule 3 +Glue -4 +PassThrough -5 +small_rule -2 +shell_rule -1 +done + +--- +Best iteration: 2 [SCORE 'bleu'=1]. +This took 0 min. diff --git a/training/dtrain/examples/toy/grammar.gz b/training/dtrain/examples/toy/grammar.gz new file mode 100644 index 00000000..8eb0d29e Binary files /dev/null and b/training/dtrain/examples/toy/grammar.gz differ diff --git a/training/dtrain/examples/toy/src b/training/dtrain/examples/toy/src new file mode 100644 index 00000000..87e39ef2 --- /dev/null +++ b/training/dtrain/examples/toy/src @@ -0,0 +1,2 @@ +ich sah ein kleines haus +ich fand ein kleines haus diff --git a/training/dtrain/examples/toy/tgt b/training/dtrain/examples/toy/tgt new file mode 100644 index 00000000..174926b3 --- /dev/null +++ b/training/dtrain/examples/toy/tgt @@ -0,0 +1,2 @@ +i saw a little house +i found a little house diff --git a/training/dtrain/lplp.rb b/training/dtrain/lplp.rb index f0cd58c5..86e835e8 100755 --- a/training/dtrain/lplp.rb +++ b/training/dtrain/lplp.rb @@ -84,34 +84,28 @@ def _test() end #_test() -# actually do something + def usage() - puts "lplp.rb [n] < " + puts "lplp.rb <#shards> < " puts " l0...: norms for selection" puts "select_k: only output top k (according to the norm of their column vector) features" puts " cut: output features with weight >= threshold" puts " n: if we do not have a shard count use this number for averaging" - exit + exit 1 end -if ARGV.size < 3 then usage end +if ARGV.size < 4 then usage end norm_fun = method(ARGV[0].to_sym) type = ARGV[1] x = ARGV[2].to_f - -shard_count_key = "__SHARD_COUNT__" +shard_count = ARGV[3].to_f STDIN.set_encoding 'utf-8' STDOUT.set_encoding 'utf-8' w = {} -shard_count = 0 while line = STDIN.gets key, val = line.split /\s+/ - if key == shard_count_key - shard_count += 1 - next - end if w.has_key? key w[key].push val.to_f else @@ -119,8 +113,6 @@ while line = STDIN.gets end end -if ARGV.size == 4 then shard_count = ARGV[3].to_f end - if type == 'cut' cut(w, norm_fun, shard_count, x) elsif type == 'select_k' diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index 24e7f49e..e661416e 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -3,16 +3,15 @@ require 'trollop' def usage - if ARGV.size != 8 - STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb -c -e [--randomize/-z] [--reshard/-y] -s <#shards|0> -p -i -r [--qsub/-q] --dtrain_binary -l \"l2 select_k 100000\"\n" - exit 1 - end + STDERR.write "Usage: " + STDERR.write "ruby parallelize.rb -c [-e ] [--randomize/-z] [--reshard/-y] -s <#shards|0> [-p ] -i -r [--qsub/-q] [--dtrain_binary ] [-l \"l2 select_k 100000\"]\n" + exit 1 end opts = Trollop::options do opt :config, "dtrain config file", :type => :string - opt :epochs, "number of epochs", :type => :int + opt :epochs, "number of epochs", :type => :int, :default => 10 + opt :lplp_args, "arguments for lplp.rb", :type => :string, :default => "l2 select_k 100000" opt :randomize, "randomize shards before each epoch", :type => :bool, :short => '-z', :default => false opt :reshard, "reshard after each epoch", :type => :bool, :short => '-y', :default => false opt :shards, "number of shards", :type => :int @@ -21,8 +20,8 @@ opts = Trollop::options do opt :references, "references", :type => :string opt :qsub, "use qsub", :type => :bool, :default => false opt :dtrain_binary, "path to dtrain binary", :type => :string - opt :lplp_args, "arguments for lplp arguments", :type => :string, :default => "l2 select_k 100000" end +usage if not opts[:config]&&opts[:shards]&&opts[:input]&&opts[:references] dtrain_dir = File.expand_path File.dirname(__FILE__) @@ -32,16 +31,14 @@ else dtrain_bin = opts[:dtrain_binary] end ruby = '/usr/bin/ruby' -lplp_rb = "#{dtrain_dir}/hstreaming/lplp.rb" +lplp_rb = "#{dtrain_dir}/lplp.rb" lplp_args = opts[:lplp_args] cat = '/bin/cat' ini = opts[:config] epochs = opts[:epochs] -rand = false -rand = true if opts[:randomize] -reshard = false -reshard = true if opts[:reshard] +rand = opts[:randomize] +reshard = opts[:reshard] predefined_shards = false if opts[:shards] == 0 predefined_shards = true @@ -49,11 +46,10 @@ if opts[:shards] == 0 else num_shards = opts[:shards] end -shards_at_once = opts[:processes_at_once] input = opts[:input] refs = opts[:references] -use_qsub = false -use_qsub = true if opts[:qsub] +use_qsub = opts[:qsub] +shards_at_once = opts[:processes_at_once] `mkdir work` diff --git a/training/dtrain/test/example/README b/training/dtrain/test/example/README deleted file mode 100644 index 2df77086..00000000 --- a/training/dtrain/test/example/README +++ /dev/null @@ -1,8 +0,0 @@ -Small example of input format for distributed training. -Call dtrain from this folder with ../../dtrain -c test/example/dtrain.ini . - -For this to work, undef 'DTRAIN_LOCAL' in dtrain.h -and recompile. - -data can be found here: http://simianer.de/#dtrain - diff --git a/training/dtrain/test/example/cdec.ini b/training/dtrain/test/example/cdec.ini deleted file mode 100644 index 0215416d..00000000 --- a/training/dtrain/test/example/cdec.ini +++ /dev/null @@ -1,25 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -scfg_max_span_limit=15 -intersection_strategy=cube_pruning -cubepruning_pop_limit=200 -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/test/example/dtrain.ini b/training/dtrain/test/example/dtrain.ini deleted file mode 100644 index 97fce7f0..00000000 --- a/training/dtrain/test/example/dtrain.ini +++ /dev/null @@ -1,22 +0,0 @@ -input=./nc-wmt11.1k.gz # use '-' for STDIN -output=- # a weights file (add .gz for gzip compression) or STDOUT '-' -select_weights=VOID # don't output weights -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 -tmp=/tmp -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 (this will still only use pairs with diff > 0) -loss_margin=0 diff --git a/training/dtrain/test/example/expected-output b/training/dtrain/test/example/expected-output deleted file mode 100644 index 05326763..00000000 --- a/training/dtrain/test/example/expected-output +++ /dev/null @@ -1,89 +0,0 @@ - cdec cfg 'test/example/cdec.ini' -Loading the LM will be faster if you build a binary file. -Reading test/example/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 2912000813 - -dtrain -Parameters: - k 100 - N 4 - T 2 - scorer 'stupid_bleu' - sample from 'kbest' - filter 'uniq' - learning rate 1 - gamma 0 - loss margin 0 - pairs 'XYX' - hi lo 0.1 - pair threshold 0 - select weights 'VOID' - l1 reg 0 'none' - max pairs 4294967295 - cdec cfg 'test/example/cdec.ini' - input 'test/example/nc-wmt11.1k.gz' - output '-' - stop_after 10 -(a dot represents 10 inputs) -Iteration #1 of 2. - . 10 -Stopping after 10 input sentences. -WEIGHTS - Glue = -637 - WordPenalty = +1064 - LanguageModel = +1175.3 - LanguageModel_OOV = -1437 - PhraseModel_0 = +1935.6 - PhraseModel_1 = +2499.3 - PhraseModel_2 = +964.96 - PhraseModel_3 = +1410.8 - PhraseModel_4 = -5977.9 - PhraseModel_5 = +522 - PhraseModel_6 = +1089 - PassThrough = -1308 - --- - 1best avg score: 0.16963 (+0.16963) - 1best avg model score: 64485 (+64485) - avg # pairs: 1494.4 - avg # rank err: 702.6 - avg # margin viol: 0 - non0 feature count: 528 - avg list sz: 85.7 - avg f count: 102.75 -(time 0.083 min, 0.5 s/S) - -Iteration #2 of 2. - . 10 -WEIGHTS - Glue = -1196 - WordPenalty = +809.52 - LanguageModel = +3112.1 - LanguageModel_OOV = -1464 - PhraseModel_0 = +3895.5 - PhraseModel_1 = +4683.4 - PhraseModel_2 = +1092.8 - PhraseModel_3 = +1079.6 - PhraseModel_4 = -6827.7 - PhraseModel_5 = -888 - PhraseModel_6 = +142 - PassThrough = -1335 - --- - 1best avg score: 0.277 (+0.10736) - 1best avg model score: -3110.5 (-67595) - avg # pairs: 1144.2 - avg # rank err: 529.1 - avg # margin viol: 0 - non0 feature count: 859 - avg list sz: 74.9 - avg f count: 112.84 -(time 0.067 min, 0.4 s/S) - -Writing weights file to '-' ... -done - ---- -Best iteration: 2 [SCORE 'stupid_bleu'=0.277]. -This took 0.15 min. diff --git a/training/dtrain/test/parallelize/README b/training/dtrain/test/parallelize/README deleted file mode 100644 index 89715105..00000000 --- a/training/dtrain/test/parallelize/README +++ /dev/null @@ -1,5 +0,0 @@ -run for example - ../../parallelize.rb ./dtrain.ini 4 false 2 2 ./in ./refs - -final weights will be in the file work/weights.3 - diff --git a/training/dtrain/test/parallelize/cdec.ini b/training/dtrain/test/parallelize/cdec.ini deleted file mode 100644 index e43ba1c4..00000000 --- a/training/dtrain/test/parallelize/cdec.ini +++ /dev/null @@ -1,22 +0,0 @@ -formalism=scfg -add_pass_through_rules=true -intersection_strategy=cube_pruning -cubepruning_pop_limit=200 -scfg_max_span_limit=15 -feature_function=WordPenalty -feature_function=KLanguageModel ../example/nc-wmt11.en.srilm.gz -#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=RuleNgramFeatures -#feature_function=RuleShape -#feature_function=SourceSpanSizeFeatures -#feature_function=SourceWordPenalty -#feature_function=SpanFeatures diff --git a/training/dtrain/test/parallelize/dtrain.ini b/training/dtrain/test/parallelize/dtrain.ini deleted file mode 100644 index 03f9d240..00000000 --- a/training/dtrain/test/parallelize/dtrain.ini +++ /dev/null @@ -1,15 +0,0 @@ -k=100 -N=4 -learning_rate=0.0001 -gamma=0 -loss_margin=0 -epochs=1 -scorer=stupid_bleu -sample_from=kbest -filter=uniq -pair_sampling=XYX -hi_lo=0.1 -select_weights=last -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough -tmp=/tmp -decoder_config=cdec.ini diff --git a/training/dtrain/test/parallelize/g/grammar.out.0.gz 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/dev/null differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.8.gz b/training/dtrain/test/parallelize/g/grammar.out.8.gz deleted file mode 100644 index ebf6bd0c..00000000 Binary files a/training/dtrain/test/parallelize/g/grammar.out.8.gz and /dev/null differ diff --git a/training/dtrain/test/parallelize/g/grammar.out.9.gz b/training/dtrain/test/parallelize/g/grammar.out.9.gz deleted file mode 100644 index c1791059..00000000 Binary files a/training/dtrain/test/parallelize/g/grammar.out.9.gz and /dev/null differ diff --git a/training/dtrain/test/parallelize/in b/training/dtrain/test/parallelize/in deleted file mode 100644 index 3b7dec39..00000000 --- a/training/dtrain/test/parallelize/in +++ /dev/null @@ -1,10 +0,0 @@ -europas nach rassen geteiltes haus -ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . -der lega nord in italien , der vlaams block in den niederlanden , die anhänger von le pens nationaler front in frankreich , sind beispiele für parteien oder bewegungen , die sich um das gemeinsame thema : ablehnung der zuwanderung gebildet haben und um forderung nach einer vereinfachten politik , um sie zu regeln . -während individuen wie jörg haidar und jean @-@ marie le pen kommen und ( leider nicht zu bald ) wieder gehen mögen , wird die rassenfrage aus der europäischer politik nicht so bald verschwinden . -eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . -die großen parteien der rechten und der linken mitte haben sich dem problem gestellt , in dem sie den kopf in den sand gesteckt und allen aussichten zuwider gehofft haben , es möge bald verschwinden . -das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . -die beziehungen zwischen den rassen standen in den usa über jahrzehnte - und tun das noch heute - im zentrum der politischen debatte . das ging so weit , daß rassentrennung genauso wichtig wie das einkommen wurde , - wenn nicht sogar noch wichtiger - um politische zuneigungen und einstellungen zu bestimmen . -der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . -genau das haben in den usa eine große anzahl an forschungsvorhaben in wirtschaft , soziologie , psychologie und politikwissenschaft geleistet . diese forschungen zeigten , daß menschen unterschiedlicher rasse einander deutlich weniger vertrauen . diff --git a/training/dtrain/test/parallelize/refs b/training/dtrain/test/parallelize/refs deleted file mode 100644 index 632e27b0..00000000 --- a/training/dtrain/test/parallelize/refs +++ /dev/null @@ -1,10 +0,0 @@ -europe 's divided racial house -a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . -the lega nord in italy , the vlaams blok in the netherlands , the supporters of le pen 's national front in france , are all examples of parties or movements formed on the common theme of aversion to immigrants and promotion of simplistic policies to control them . -while individuals like jorg haidar and jean @-@ marie le pen may come and ( never to soon ) go , the race question will not disappear from european politics anytime soon . -an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . -mainstream parties of the center left and center right have confronted this prospect by hiding their heads in the ground , hoping against hope that the problem will disappear . -it will not , as america 's racial history clearly shows . -race relations in the us have been for decades - and remain - at the center of political debate , to the point that racial cleavages are as important as income , if not more , as determinants of political preferences and attitudes . -the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . -this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git a/training/dtrain/test/toy/cdec.ini b/training/dtrain/test/toy/cdec.ini deleted file mode 100644 index 98b02d44..00000000 --- a/training/dtrain/test/toy/cdec.ini +++ /dev/null @@ -1,2 +0,0 @@ -formalism=scfg -add_pass_through_rules=true diff --git a/training/dtrain/test/toy/dtrain.ini b/training/dtrain/test/toy/dtrain.ini deleted file mode 100644 index a091732f..00000000 --- a/training/dtrain/test/toy/dtrain.ini +++ /dev/null @@ -1,12 +0,0 @@ -decoder_config=test/toy/cdec.ini -input=test/toy/input -output=- -print_weights=logp shell_rule house_rule small_rule little_rule PassThrough -k=4 -N=4 -epochs=2 -scorer=bleu -sample_from=kbest -filter=uniq -pair_sampling=all -learning_rate=1 diff --git a/training/dtrain/test/toy/input b/training/dtrain/test/toy/input deleted file mode 100644 index 4d10a9ea..00000000 --- a/training/dtrain/test/toy/input +++ /dev/null @@ -1,2 +0,0 @@ -0 ich sah ein kleines haus i saw a little house [S] ||| [NP,1] [VP,2] ||| [1] [2] ||| logp=0 [NP] ||| ich ||| i ||| logp=0 [NP] ||| ein [NN,1] ||| a [1] ||| logp=0 [NN] ||| [JJ,1] haus ||| [1] house ||| logp=0 house_rule=1 [NN] ||| [JJ,1] haus ||| [1] shell ||| logp=0 shell_rule=1 [JJ] ||| kleines ||| small ||| logp=0 small_rule=1 [JJ] ||| kleines ||| little ||| logp=0 little_rule=1 [JJ] ||| grosses ||| big ||| logp=0 [JJ] ||| grosses ||| large ||| logp=0 [VP] ||| [V,1] [NP,2] ||| [1] [2] ||| logp=0 [V] ||| sah ||| saw ||| logp=0 [V] ||| fand ||| found ||| logp=0 -1 ich fand ein kleines haus i found a little house [S] ||| [NP,1] [VP,2] ||| [1] [2] ||| logp=0 [NP] ||| ich ||| i ||| logp=0 [NP] ||| ein [NN,1] ||| a [1] ||| logp=0 [NN] ||| [JJ,1] haus ||| [1] house ||| logp=0 house_rule=1 [NN] ||| [JJ,1] haus ||| [1] shell ||| logp=0 shell_rule=1 [JJ] ||| kleines ||| small ||| logp=0 small_rule=1 [JJ] ||| kleines ||| little ||| logp=0 little_rule=1 [JJ] ||| grosses ||| big ||| logp=0 [JJ] ||| grosses ||| large ||| logp=0 [VP] ||| [V,1] [NP,2] ||| [1] [2] ||| logp=0 [V] ||| sah ||| saw ||| logp=0 [V] ||| fand ||| found ||| logp=0 -- cgit v1.2.3