From 70572bc0aa0338b298e9a8e2829a0a0d134785e4 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Tue, 24 Mar 2015 19:15:48 +0100 Subject: dtrain: fix example --- training/dtrain/examples/parallelized/README | 5 - training/dtrain/examples/parallelized/cdec.ini | 26 - training/dtrain/examples/parallelized/dtrain.ini | 7 - .../examples/parallelized/grammar/grammar.out.0.gz | Bin 8318 -> 0 bytes .../examples/parallelized/grammar/grammar.out.1.gz | Bin 358560 -> 0 bytes .../examples/parallelized/grammar/grammar.out.2.gz | Bin 1014466 -> 0 bytes .../examples/parallelized/grammar/grammar.out.3.gz | Bin 391811 -> 0 bytes .../examples/parallelized/grammar/grammar.out.4.gz | Bin 149590 -> 0 bytes .../examples/parallelized/grammar/grammar.out.5.gz | Bin 537024 -> 0 bytes .../examples/parallelized/grammar/grammar.out.6.gz | Bin 291286 -> 0 bytes .../examples/parallelized/grammar/grammar.out.7.gz | Bin 1038140 -> 0 bytes .../examples/parallelized/grammar/grammar.out.8.gz | Bin 419889 -> 0 bytes .../examples/parallelized/grammar/grammar.out.9.gz | Bin 409140 -> 0 bytes training/dtrain/examples/parallelized/in | 10 - training/dtrain/examples/parallelized/work/out.0.0 | 44 - training/dtrain/examples/parallelized/work/out.0.1 | 45 - training/dtrain/examples/parallelized/work/out.0.2 | 45 - training/dtrain/examples/parallelized/work/out.1.0 | 44 - training/dtrain/examples/parallelized/work/out.1.1 | 45 - training/dtrain/examples/parallelized/work/out.1.2 | 45 - training/dtrain/examples/parallelized/work/out.2.0 | 44 - training/dtrain/examples/parallelized/work/out.2.1 | 45 - training/dtrain/examples/parallelized/work/out.2.2 | 45 - training/dtrain/examples/parallelized/work/out.3.0 | 44 - training/dtrain/examples/parallelized/work/out.3.1 | 45 - training/dtrain/examples/parallelized/work/out.3.2 | 45 - .../dtrain/examples/parallelized/work/shard.0.0 | 3 - .../dtrain/examples/parallelized/work/shard.1.0 | 3 - .../dtrain/examples/parallelized/work/shard.2.0 | 3 - .../dtrain/examples/parallelized/work/shard.3.0 | 1 - .../dtrain/examples/parallelized/work/weights.0 | 2072 --- .../dtrain/examples/parallelized/work/weights.0.0 | 441 - .../dtrain/examples/parallelized/work/weights.0.1 | 2218 ---- .../dtrain/examples/parallelized/work/weights.0.2 | 2824 ---- .../dtrain/examples/parallelized/work/weights.1 | 2641 ---- .../dtrain/examples/parallelized/work/weights.1.0 | 599 - .../dtrain/examples/parallelized/work/weights.1.1 | 2275 ---- .../dtrain/examples/parallelized/work/weights.1.2 | 2791 ---- .../dtrain/examples/parallelized/work/weights.2 | 3283 ----- .../dtrain/examples/parallelized/work/weights.2.0 | 850 -- .../dtrain/examples/parallelized/work/weights.2.1 | 2256 ---- .../dtrain/examples/parallelized/work/weights.2.2 | 2883 ---- .../dtrain/examples/parallelized/work/weights.3.0 | 564 - .../dtrain/examples/parallelized/work/weights.3.1 | 2130 --- .../dtrain/examples/parallelized/work/weights.3.2 | 2743 ---- training/dtrain/examples/standard/README | 2 - training/dtrain/examples/standard/cdec.ini | 27 - training/dtrain/examples/standard/dtrain.ini | 9 - .../dtrain/examples/standard/expected-output.gz | Bin 853 -> 0 bytes training/dtrain/examples/standard/nc-wmt11.100.gz | Bin 12480 -> 0 bytes .../dtrain/examples/standard/nc-wmt11.en.srilm.gz | Bin 16017291 -> 0 bytes .../dtrain/examples/standard/nc-wmt11.grammar.gz | Bin 1399924 -> 0 bytes training/dtrain/examples/standard/nc-wmt11.gz | Bin 113504 -> 0 bytes training/dtrain/examples/standard/weights | 13115 ------------------- training/dtrain/examples/toy/cdec.ini | 3 - training/dtrain/examples/toy/dtrain.ini | 8 - training/dtrain/examples/toy/expected-output | 0 training/dtrain/examples/toy/grammar.gz | Bin 219 -> 0 bytes training/dtrain/examples/toy/in | 2 - training/dtrain/examples/toy/weights | 6 - 60 files changed, 44336 deletions(-) delete mode 100644 training/dtrain/examples/parallelized/README delete mode 100644 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mode 100644 training/dtrain/examples/toy/expected-output delete mode 100644 training/dtrain/examples/toy/grammar.gz delete mode 100644 training/dtrain/examples/toy/in delete mode 100644 training/dtrain/examples/toy/weights (limited to 'training') diff --git a/training/dtrain/examples/parallelized/README b/training/dtrain/examples/parallelized/README deleted file mode 100644 index c4addd81..00000000 --- a/training/dtrain/examples/parallelized/README +++ /dev/null @@ -1,5 +0,0 @@ -run for example - ../../parallelize.rb -c dtrain.ini -s 4 -e 3 -d ../../dtrain -p 2 -i in - -final weights will be in the file work/weights.2 - diff --git a/training/dtrain/examples/parallelized/cdec.ini b/training/dtrain/examples/parallelized/cdec.ini deleted file mode 100644 index 9a04253f..00000000 --- a/training/dtrain/examples/parallelized/cdec.ini +++ /dev/null @@ -1,26 +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 ../standard/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=LexicalFeatures 1 1 1 -#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 deleted file mode 100644 index 829605fb..00000000 --- a/training/dtrain/examples/parallelized/dtrain.ini +++ /dev/null @@ -1,7 +0,0 @@ -k=100 -N=4 -learning_rate=0.0001 -margin=1.0 -iterations=1 -decoder_conf=cdec.ini -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz deleted file mode 100644 index 1e28a24b..00000000 Binary files a/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz and /dev/null differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz deleted file mode 100644 index 372f5675..00000000 Binary files a/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz and /dev/null differ diff --git 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and /dev/null differ diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz deleted file mode 100644 index c1791059..00000000 Binary files a/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz and /dev/null differ diff --git a/training/dtrain/examples/parallelized/in b/training/dtrain/examples/parallelized/in deleted file mode 100644 index 82555908..00000000 --- a/training/dtrain/examples/parallelized/in +++ /dev/null @@ -1,10 +0,0 @@ -europas nach rassen geteiltes haus ||| europe 's divided racial house -ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . ||| a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . -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 . ||| 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 . -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 . ||| 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 . -eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . ||| an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . -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 . ||| 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 . -das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . ||| it will not , as america 's racial history clearly shows . -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 . ||| 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 . -der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . ||| the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . -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 . ||| 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 deleted file mode 100644 index da7c20a4..00000000 --- a/training/dtrain/examples/parallelized/work/out.0.0 +++ /dev/null @@ -1,44 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.0.0' - output 'work/weights.0.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = +0.1984 - WordPenalty = +0.06119 - LanguageModel = +0.6184 - LanguageModel_OOV = -0.2584 - PhraseModel_0 = -0.3803 - PhraseModel_1 = +0.6495 - PhraseModel_2 = +0.9499 - PhraseModel_3 = -0.4945 - PhraseModel_4 = -0.4588 - PhraseModel_5 = +0 - PhraseModel_6 = -0.2935 - PassThrough = -0.2742 - --- - 1best avg score: 22.94 (+22.94) - 1best avg model score: +33.08 - avg # updates: 2169 - non-0 feature count: 441 - avg f count: 143.9 - avg list sz: 100 -(time 0.1667 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 22.94]. -This took 0.1667 min. diff --git a/training/dtrain/examples/parallelized/work/out.0.1 b/training/dtrain/examples/parallelized/work/out.0.1 deleted file mode 100644 index c18747fb..00000000 --- a/training/dtrain/examples/parallelized/work/out.0.1 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.0.0' - output 'work/weights.0.1' - weights in 'work/weights.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = +0.08417 - WordPenalty = +0.1674 - LanguageModel = +0.5448 - LanguageModel_OOV = -0.6311 - PhraseModel_0 = -0.2931 - PhraseModel_1 = +1.173 - PhraseModel_2 = +1.369 - PhraseModel_3 = +0.1819 - PhraseModel_4 = -0.8439 - PhraseModel_5 = +0.02055 - PhraseModel_6 = -0.3794 - PassThrough = -0.6827 - --- - 1best avg score: 16.83 (+16.83) - 1best avg model score: +66.56 - avg # updates: 2090 - non-0 feature count: 2218 - avg f count: 142.5 - avg list sz: 100 -(time 0.1833 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 16.83]. -This took 0.1833 min. diff --git a/training/dtrain/examples/parallelized/work/out.0.2 b/training/dtrain/examples/parallelized/work/out.0.2 deleted file mode 100644 index c859db3f..00000000 --- a/training/dtrain/examples/parallelized/work/out.0.2 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.0.0' - output 'work/weights.0.2' - weights in 'work/weights.1' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = -0.1266 - WordPenalty = +0.2244 - LanguageModel = +0.4891 - LanguageModel_OOV = -0.6065 - PhraseModel_0 = -0.634 - PhraseModel_1 = +0.6576 - PhraseModel_2 = +1.165 - PhraseModel_3 = +0.01649 - PhraseModel_4 = -0.8815 - PhraseModel_5 = +0.04098 - PhraseModel_6 = -0.5361 - PassThrough = -0.6292 - --- - 1best avg score: 27.3 (+27.3) - 1best avg model score: +27.47 - avg # updates: 1764 - non-0 feature count: 2824 - avg f count: 153 - avg list sz: 100 -(time 0.1833 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 27.3]. -This took 0.1833 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.0 b/training/dtrain/examples/parallelized/work/out.1.0 deleted file mode 100644 index 7a72e275..00000000 --- a/training/dtrain/examples/parallelized/work/out.1.0 +++ /dev/null @@ -1,44 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.1.0' - output 'work/weights.1.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = +0.2684 - WordPenalty = -0.2237 - LanguageModel = -1.104 - LanguageModel_OOV = +0.1174 - PhraseModel_0 = -0.9356 - PhraseModel_1 = -0.9926 - PhraseModel_2 = -0.2008 - PhraseModel_3 = -0.7721 - PhraseModel_4 = +0.5111 - PhraseModel_5 = +0 - PhraseModel_6 = -0.6298 - PassThrough = -0.0118 - --- - 1best avg score: 4.189 (+4.189) - 1best avg model score: +319.9 - avg # updates: 2100 - non-0 feature count: 599 - avg f count: 213.9 - avg list sz: 100 -(time 0.1667 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 4.189]. -This took 0.1667 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.1 b/training/dtrain/examples/parallelized/work/out.1.1 deleted file mode 100644 index bd209601..00000000 --- a/training/dtrain/examples/parallelized/work/out.1.1 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.1.0' - output 'work/weights.1.1' - weights in 'work/weights.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = +0.4661 - WordPenalty = +0.07374 - LanguageModel = +0.3354 - LanguageModel_OOV = -0.6514 - PhraseModel_0 = -0.4878 - PhraseModel_1 = +1.085 - PhraseModel_2 = +1.48 - PhraseModel_3 = -0.03441 - PhraseModel_4 = -0.5739 - PhraseModel_5 = +0.1023 - PhraseModel_6 = -0.3455 - PassThrough = -0.3826 - --- - 1best avg score: 10.18 (+10.18) - 1best avg model score: +71.15 - avg # updates: 2121 - non-0 feature count: 2275 - avg f count: 150.8 - avg list sz: 100 -(time 0.15 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 10.18]. -This took 0.15 min. diff --git a/training/dtrain/examples/parallelized/work/out.1.2 b/training/dtrain/examples/parallelized/work/out.1.2 deleted file mode 100644 index f5fc817b..00000000 --- a/training/dtrain/examples/parallelized/work/out.1.2 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.1.0' - output 'work/weights.1.2' - weights in 'work/weights.1' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = +0.3277 - WordPenalty = +0.1759 - LanguageModel = +0.2799 - LanguageModel_OOV = -0.5643 - PhraseModel_0 = -0.7466 - PhraseModel_1 = +0.6823 - PhraseModel_2 = +1.309 - PhraseModel_3 = -0.3185 - PhraseModel_4 = -0.94 - PhraseModel_5 = +0.04098 - PhraseModel_6 = -0.412 - PassThrough = -0.587 - --- - 1best avg score: 13.7 (+13.7) - 1best avg model score: +71.09 - avg # updates: 2223 - non-0 feature count: 2791 - avg f count: 152.8 - avg list sz: 100 -(time 0.15 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 13.7]. -This took 0.15 min. diff --git a/training/dtrain/examples/parallelized/work/out.2.0 b/training/dtrain/examples/parallelized/work/out.2.0 deleted file mode 100644 index 2d27fdc6..00000000 --- a/training/dtrain/examples/parallelized/work/out.2.0 +++ /dev/null @@ -1,44 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.2.0' - output 'work/weights.2.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = -0.0099 - WordPenalty = +0.5556 - LanguageModel = +3.129 - LanguageModel_OOV = +0.1064 - PhraseModel_0 = -0.5801 - PhraseModel_1 = -0.3003 - PhraseModel_2 = +0.1759 - PhraseModel_3 = -0.3496 - PhraseModel_4 = -2.562 - PhraseModel_5 = +0.0102 - PhraseModel_6 = -0.4384 - PassThrough = +0.0809 - --- - 1best avg score: 9.987 (+9.987) - 1best avg model score: -102.2 - avg # updates: 1862 - non-0 feature count: 850 - avg f count: 144.5 - avg list sz: 100 -(time 0.2 min, 4 s/S) - ---- -Best iteration: 1 [GOLD = 9.987]. -This took 0.2 min. diff --git a/training/dtrain/examples/parallelized/work/out.2.1 b/training/dtrain/examples/parallelized/work/out.2.1 deleted file mode 100644 index a6cef2b1..00000000 --- a/training/dtrain/examples/parallelized/work/out.2.1 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.2.0' - output 'work/weights.2.1' - weights in 'work/weights.0' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = -0.2622 - WordPenalty = +0.3185 - LanguageModel = +1.89 - LanguageModel_OOV = -0.6097 - PhraseModel_0 = +0.09434 - PhraseModel_1 = +0.2635 - PhraseModel_2 = +0.1182 - PhraseModel_3 = +1.151 - PhraseModel_4 = -0.7466 - PhraseModel_5 = +0.02055 - PhraseModel_6 = -0.3454 - PassThrough = -0.6294 - --- - 1best avg score: 9.998 (+9.998) - 1best avg model score: -27.44 - avg # updates: 1910 - non-0 feature count: 2256 - avg f count: 148.7 - avg list sz: 100 -(time 0.2 min, 4 s/S) - ---- -Best iteration: 1 [GOLD = 9.998]. -This took 0.2 min. diff --git a/training/dtrain/examples/parallelized/work/out.2.2 b/training/dtrain/examples/parallelized/work/out.2.2 deleted file mode 100644 index 908e5214..00000000 --- a/training/dtrain/examples/parallelized/work/out.2.2 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.2.0' - output 'work/weights.2.2' - weights in 'work/weights.1' -(1 dot per processed input) -Iteration #1 of 1. - ... 3 -WEIGHTS - Glue = -0.1781 - WordPenalty = +0.262 - LanguageModel = +1.468 - LanguageModel_OOV = -0.4828 - PhraseModel_0 = -0.4867 - PhraseModel_1 = +0.3306 - PhraseModel_2 = +0.7159 - PhraseModel_3 = +0.01232 - PhraseModel_4 = -1.128 - PhraseModel_5 = +0.04098 - PhraseModel_6 = -0.3829 - PassThrough = -0.5045 - --- - 1best avg score: 16.34 (+16.34) - 1best avg model score: +12.6 - avg # updates: 1823 - non-0 feature count: 2883 - avg f count: 160 - avg list sz: 100 -(time 0.2 min, 4 s/S) - ---- -Best iteration: 1 [GOLD = 16.34]. -This took 0.2 min. diff --git a/training/dtrain/examples/parallelized/work/out.3.0 b/training/dtrain/examples/parallelized/work/out.3.0 deleted file mode 100644 index d2bad0b2..00000000 --- a/training/dtrain/examples/parallelized/work/out.3.0 +++ /dev/null @@ -1,44 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.3.0' - output 'work/weights.3.0' -(1 dot per processed input) -Iteration #1 of 1. - . 1 -WEIGHTS - Glue = -0.081 - WordPenalty = +0.383 - LanguageModel = +1.541 - LanguageModel_OOV = +0.045 - PhraseModel_0 = -0.36 - PhraseModel_1 = -0.4623 - PhraseModel_2 = -0.09999 - PhraseModel_3 = +0.07974 - PhraseModel_4 = -1.442 - PhraseModel_5 = +0.072 - PhraseModel_6 = +0.0898 - PassThrough = +0.009 - --- - 1best avg score: 3.357 (+3.357) - 1best avg model score: +0 - avg # updates: 1699 - non-0 feature count: 564 - avg f count: 206.7 - avg list sz: 100 -(time 0.05 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 3.357]. -This took 0.05 min. diff --git a/training/dtrain/examples/parallelized/work/out.3.1 b/training/dtrain/examples/parallelized/work/out.3.1 deleted file mode 100644 index 3f8c45c4..00000000 --- a/training/dtrain/examples/parallelized/work/out.3.1 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.3.0' - output 'work/weights.3.1' - weights in 'work/weights.0' -(1 dot per processed input) -Iteration #1 of 1. - . 1 -WEIGHTS - Glue = -0.2588 - WordPenalty = +0.2907 - LanguageModel = +1.633 - LanguageModel_OOV = -0.0845 - PhraseModel_0 = -0.3393 - PhraseModel_1 = -0.02459 - PhraseModel_2 = +0.2491 - PhraseModel_3 = +0.07205 - PhraseModel_4 = -0.9481 - PhraseModel_5 = +0.02055 - PhraseModel_6 = -0.2971 - PassThrough = -0.3728 - --- - 1best avg score: 4.499 (+4.499) - 1best avg model score: -45.68 - avg # updates: 2016 - non-0 feature count: 2130 - avg f count: 175.9 - avg list sz: 100 -(time 0.05 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 4.499]. -This took 0.05 min. diff --git a/training/dtrain/examples/parallelized/work/out.3.2 b/training/dtrain/examples/parallelized/work/out.3.2 deleted file mode 100644 index d616560d..00000000 --- a/training/dtrain/examples/parallelized/work/out.3.2 +++ /dev/null @@ -1,45 +0,0 @@ -Loading the LM will be faster if you build a binary file. -Reading ../standard/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 -dtrain -Parameters: - k 100 - N 4 - T 1 - learning rate 0.0001 - margin 1 - l1 reg 0 - decoder conf 'cdec.ini' - input 'work/shard.3.0' - output 'work/weights.3.2' - weights in 'work/weights.1' -(1 dot per processed input) -Iteration #1 of 1. - . 1 -WEIGHTS - Glue = +0.2167 - WordPenalty = +0.2738 - LanguageModel = +0.813 - LanguageModel_OOV = -0.6426 - PhraseModel_0 = -0.5211 - PhraseModel_1 = +0.4933 - PhraseModel_2 = +0.9179 - PhraseModel_3 = +0.5142 - PhraseModel_4 = -0.8559 - PhraseModel_5 = +0.03138 - PhraseModel_6 = -0.4129 - PassThrough = -0.6653 - --- - 1best avg score: 21.4 (+21.4) - 1best avg model score: +8.744 - avg # updates: 2287 - non-0 feature count: 2743 - avg f count: 174.8 - avg list sz: 100 -(time 0.05 min, 3 s/S) - ---- -Best iteration: 1 [GOLD = 21.4]. -This took 0.05 min. diff --git a/training/dtrain/examples/parallelized/work/shard.0.0 b/training/dtrain/examples/parallelized/work/shard.0.0 deleted file mode 100644 index a0ef6f54..00000000 --- a/training/dtrain/examples/parallelized/work/shard.0.0 +++ /dev/null @@ -1,3 +0,0 @@ -europas nach rassen geteiltes haus ||| europe 's divided racial house -ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen . ||| a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . -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 . ||| 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 . diff --git a/training/dtrain/examples/parallelized/work/shard.1.0 b/training/dtrain/examples/parallelized/work/shard.1.0 deleted file mode 100644 index 05f0273b..00000000 --- a/training/dtrain/examples/parallelized/work/shard.1.0 +++ /dev/null @@ -1,3 +0,0 @@ -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 . ||| 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 . -eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern . ||| an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . -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 . ||| 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 . diff --git a/training/dtrain/examples/parallelized/work/shard.2.0 b/training/dtrain/examples/parallelized/work/shard.2.0 deleted file mode 100644 index 0528d357..00000000 --- a/training/dtrain/examples/parallelized/work/shard.2.0 +++ /dev/null @@ -1,3 +0,0 @@ -das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt . ||| it will not , as america 's racial history clearly shows . -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 . ||| 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 . -der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken . ||| the first step to address racial politics is to understand the origin and consequences of racial animosity , even if it means uncovering unpleasant truths . diff --git a/training/dtrain/examples/parallelized/work/shard.3.0 b/training/dtrain/examples/parallelized/work/shard.3.0 deleted file mode 100644 index f7cbb3e3..00000000 --- a/training/dtrain/examples/parallelized/work/shard.3.0 +++ /dev/null @@ -1 +0,0 @@ -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 . ||| 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 deleted file mode 100644 index 560bab86..00000000 --- a/training/dtrain/examples/parallelized/work/weights.0 +++ /dev/null @@ -1,2072 +0,0 @@ -LanguageModel 1.0461718569464984 -PhraseModel_4 -0.9877757214580491 -PhraseModel_1 -0.27641632310025577 -PhraseModel_0 -0.5640090252696333 -PhraseModel_2 0.20626506994462934 -PhraseModel_3 -0.38409074694928547 -PhraseModel_6 -0.31797499999999995 -WordPenalty 0.1940427745143702 -RBT:X1_ -0.16625 -RBS:_X -0.14205 -RBT:X2_ 0.08432500000000001 -Shape_S10000_T10000 -0.0010500000000000023 -RBS:X_ -0.010700000000000005 -RBT:_X1 0.041625000000000016 -R:S:NS_NX:N1_N2 0.093975 -RBT:S1_X2 0.093975 -RBT:_S1 0.093975 -RBS:_S 0.093975 -RBS:S_X 0.093975 -Glue 0.093975 -Shape_S01010_T01010 0.093975 -Shape_S11000_T11000 -0.06510000000000002 -LanguageModel_OOV 0.0026000000000000103 -PassThrough -0.04902499999999999 -Shape_S01110_T01110 0.032375 -RBT:a_X1 -0.070925 -Shape_S01110_T11110 -0.07705 -RBT:_X2 -0.040150000000000005 -RBT:X1_, 0.057374999999999995 -Shape_S01100_T01100 -0.03432500000000001 -Shape_S01111_T01111 0.015300000000000001 -RBT:the_X2 0.0363 -RBT:X1_X2 -0.035675000000000005 -RBT:,_ -0.0070250000000000035 -Shape_S01110_T01111 -0.008275000000000001 -Shape_S11000_T01100 0.03605 -RBT:_be -0.059675000000000006 -RBS:die_ -0.06317500000000001 -RBT:be_ -0.016925000000000003 -RBT:in_the 0.04882500000000001 -RBT:which_is -0.0463 -RBT:intended_X2 -0.0463 -RBT:ensure_X1 -0.0463 -RBT:X2_ensure -0.0463 -R:X:NX_dem_NX:which_is_intended_N2_ensure_N1 -0.0463 -RBT:is_intended -0.0463 -RBT:._ -0.0338 -RBT:_have 0.04765 -RBT:demands_X1 -0.016874999999999998 -RBT:made_demands -0.016874999999999998 -R:X:nicht_NX:not_made_demands_N1 -0.016874999999999998 -RBT:not_made -0.016874999999999998 -RBT:jean_@-@ 0.045000000000000005 -RBT:X2_, 0.0427 -RBT:into_ -0.0444 -RBT:being_attracted -0.0444 -R:X:NX_dem_NX_in:N1_make_its_choices_count_in_the_N2_,_within 0.0444 -RBT:make_its 0.0444 -RBT:its_choices 0.0444 -RBT:within_ 0.0444 -RBT:attracted_into -0.0444 -RBT:X1_being -0.0444 -RBT:X1_make 0.0444 -RBT:choices_count 0.0444 -R:X:NX_in:N1_being_attracted_into -0.0444 -RBT:count_in 0.0444 -RBT:,_within 0.0444 -RBS:X_wie -0.043750000000000004 -RBT:is_ -0.04505000000000001 -RBT:history_ -0.041675000000000004 -R:X:wird:be -0.041675000000000004 -R:X:das:what -0.041675000000000004 -RBT:for_example -0.041675000000000004 -RBT:what_ -0.041675000000000004 -R:X:NX_wie_die:N1_for_example_the -0.041675000000000004 -RBT:for_a -0.041675000000000004 -R:X:NX_geschichte_NX:N2_for_a_N1_history -0.041675000000000004 -RBT:example_the -0.041675000000000004 -RBT:X1_history -0.041675000000000004 -RBT:_what -0.041675000000000004 -R:X:aber:is -0.041675000000000004 -RBT:X2_for -0.041675000000000004 -RBS:X_geschichte -0.041325 -RBT:the_united -0.041325 -RBT:_is -0.044125000000000004 -RBT:gone_ahead 0.0409 -RBT:in_connection -0.0409 -RBT:have_gone 0.0409 -RBT:experience_in -0.0409 -RBT:ahead_X1 0.0409 -R:X:NX_haben:have_gone_ahead_N1 0.0409 -RBT:_experience -0.0409 -RBT:connection_X1 -0.0409 -R:X:NX_haben:experience_in_connection_N1 -0.0409 -RBS:die_X 0.055975000000000004 -RBT:X1_for -0.040625 -RBT:_it 0.0374 -RBT:_, -0.011199999999999998 -RBT:the_ -0.051675 -RBT:united_states -0.031950000000000006 -RBT:when_ -0.039025 -RBS:aber_ -0.037450000000000004 -RBT:and_ 0.066825 -RBT:,_X2 -0.015875 -RBT:_history 0.035325 -RBS:wird_ -0.027875000000000004 -RBT:_the -0.05772500000000001 -RBT:X1_will 0.010274999999999996 -RBT:_not -0.008274999999999998 -RBS:wird_X 0.011525 -RBT:for_ -0.003599999999999999 -RBS:_geschichte 0.034125 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0.0032000000000000002 -R:X:NX_gebildet_NX:N2_formed_N1 0.0094000000000000004 diff --git a/training/dtrain/examples/parallelized/work/weights.1 b/training/dtrain/examples/parallelized/work/weights.1 deleted file mode 100644 index 270dbb59..00000000 --- a/training/dtrain/examples/parallelized/work/weights.1 +++ /dev/null @@ -1,2641 +0,0 @@ -LanguageModel 1.1008595900906253 -PhraseModel_2 0.804224437304719 -PhraseModel_1 0.6242269758630035 -PhraseModel_4 -0.7781209969878504 -PhraseModel_3 0.34257722211028796 -LanguageModel_OOV -0.494175 -PassThrough -0.5169 -PhraseModel_6 -0.341825 -PhraseModel_0 -0.2564652741416422 -Shape_S01010_T01010 0.007300000000000015 -RBT:S1_X2 0.007300000000000015 -R:S:NS_NX:N1_N2 0.007300000000000015 -RBT:_S1 0.007300000000000015 -RBS:_S 0.007300000000000015 -Glue 0.007300000000000015 -RBS:S_X 0.007300000000000015 -Shape_S10000_T10000 -0.11412499999999999 -RBS:X_ -0.08339999999999999 -RBT:X2_ 0.007075000000000033 -WordPenalty 0.21258714889163938 -RBT:X1_ -0.1372 -RBS:_X -0.12465 -RBT:of_ 0.1007 -RBT:_against 0.0555 -RBT:against_ 0.0555 -R:X:zuwider:against 0.0555 -RBT:_of 0.04062500000000001 -RBT:_the -0.08017500000000002 -RBT:the_ -0.076675 -RBT:_and 0.072 -RBT:X1_X2 -0.06735000000000001 -RBT:countries_ 0.059075 -RBT:and_ 0.079425 -RBT:as_ 0.04820000000000001 -RBT:und_ -0.06052500000000001 -R:X:und:und -0.06052500000000001 -RBT:_und -0.06052500000000001 -RBT:_europe 0.059500000000000004 -RBT:,_X1 -0.0626 -Shape_S01110_T11110 -0.07705 -RBS:die_ -0.06860000000000001 -R:X:für:for -0.05697500000000001 -R:X:für:of 0.05697500000000001 -RBT:europe_ 0.052425000000000006 -RBT:ländern_ -0.04187500000000001 -RBT:_ländern -0.04187500000000001 -R:X:ländern:ländern -0.04187500000000001 -RBT:_for -0.0567 -RBT:_X1 0.04132500000000002 -RBT:a_X1 -0.070925 -RBT:X1_, 0.0664 -RBT:zuwider_ -0.0335 -R:X:zuwider:zuwider -0.0335 -RBT:_zuwider -0.0335 -R:X:ländern:countries 0.033375 -RBT:_countries 0.033375 -Shape_S01100_T01100 0.005574999999999993 -R:X:und:and 0.060325000000000004 -RBT:_europas -0.031525000000000004 -RBT:europas_ -0.031525000000000004 -R:X:europas:europas -0.031525000000000004 -RBT:_as 0.044675000000000006 -RBT:_us 0.042575 -Shape_S01111_T01011 -0.04895 -RBS:,_ -0.05367500000000001 -Shape_S11000_T11000 -0.05635000000000002 -RBT:_be -0.059800000000000006 -R:X:europas:europe 0.04055 -RBT:_marie 0.044475 -R:X:marie:marie 0.044475 -RBT:marie_ 0.044475 -RBT:_even -0.039525000000000005 -Shape_S01100_T11000 -0.035225 -RBT:,_ 0.02045 -R:X:europäischen:europäischen -0.039575 -RBT:_europäischen -0.039575 -RBT:europäischen_ -0.039575 -RBT:'s_ 0.037725 -RBT:racism_ 0.046625000000000014 -PhraseModel_5 0.040975000000000004 -RBS:nicht_ -0.031225000000000003 -RBT:for_ -0.028449999999999996 -RBT:in_ -0.031700000000000006 -R:X:wie:as 0.025625000000000002 -RBT:usa_ -0.02645 -R:X:usa:usa -0.02645 -RBT:_usa -0.02645 -RBS:zu_ 0.004425 -R:X:zu:to 0.004425 -RBS:noch_wichtiger 0.027274999999999997 -RBS:_wichtiger -0.027274999999999997 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0.0439 -RBT:is_intended -0.0463 -RBT:intended_X2 -0.0463 -RBT:ensure_X1 -0.0463 -RBT:X2_ensure -0.0463 -RBT:which_is -0.0463 -R:X:NX_dem_NX:which_is_intended_N2_ensure_N1 -0.0463 -RBS:und_ -0.027324999999999995 -RBT:_more 0.02505 -RBS:_noch 0.02505 -RBT:more_ 0.02505 -RBT:wichtiger_ -0.02505 -R:X:wichtiger:wichtiger -0.02505 -RBT:_wichtiger -0.02505 -RBT:_european 0.016024999999999998 -RBT:wie_ -0.009600000000000003 -RBT:_wie -0.009600000000000003 -R:X:wie:wie -0.009600000000000003 -RBS:X_@-@ 0.02255 -RBS:jean_ 0.02255 -R:X:aller:aller -0.022500000000000003 -R:X:aller:of 0.022500000000000003 -R:X:merkmal:feature 0.022500000000000003 -RBT:_feature 0.022500000000000003 -RBT:_aller -0.022500000000000003 -RBT:feature_ 0.022500000000000003 -RBT:_merkmal -0.022500000000000003 -RBT:jean_@-@ 0.045000000000000005 -RBT:aller_ -0.022500000000000003 -RBT:merkmal_ -0.022500000000000003 -R:X:merkmal:merkmal -0.022500000000000003 -RBT:within_ 0.0447 -RBT:european_ 0.00825 -R:X:-:- 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-R:X:es_NX:there_is_,_N1 -0.028900000000000002 -RBT:there_is -0.028900000000000002 -R:X:in:to -0.028675 -RBT:project_X1 0.028650000000000002 -R:X:geschichte_NX:history_project_N1 0.028650000000000002 -RBT:history_project 0.028650000000000002 -RBT:X2_. -0.028625 -RBT:_soon -0.027975 -R:X:um:um -0.024 -RBT:_um -0.024 -RBT:um_ -0.024 -RBT:health_ 0.028475 -R:X:das:health 0.028475 -RBT:_health 0.028475 -RBT:_race -0.026250000000000002 -R:X:die:the 0.00395 -RBT:this_ 0.013575 -RBS:aber_wird 0.027075000000000002 -R:X:.:. 0.0014000000000000002 -RBS:_haus 0.02705 -RBS:X_haus -0.02705 -RBT:of_a -0.027000000000000003 -RBS:aus_ 0.026075000000000004 -RBT:_this 0.01335 -RBT:but_X1 -0.026625000000000003 -RBT:americans_X1 0.0262 -RBT:_americans 0.0262 -R:X:NX_amerika_NX:americans_N1_N2 0.0262 -R:X:wird_es_nicht:will_not 0.013075 -RBT:will_not 0.013075 -RBT:house_ 0.0146 -Shape_S11000_T11100 0.026025 -R:X:NX_.:N1_, 0.026025 -R:X:aber_wird_NX:,_N1_will 0.026025 -RBT:those_countries 0.0257 -R:X:ländern:those_countries 0.0257 -RBT:_by 0.0257 -RBT:X1_racism 0.025675 -R:X:rassismus_NX:N1_racism 0.025675 -R:X:in:it 0.025675 -RBS:_bedeutet 0.021 -RBS:deutlich_X -0.0256 -R:X:NX_auch:N1_as 0.012775 -RBT:political_ 0.020325 -RBT:_house 0.012450000000000001 -R:X:haus:house 0.012450000000000001 -RBT:X2_and -0.020575000000000003 -RBS:_an -0.024375 -RBT:more_open 0.024575 -RBT:open_ 0.024575 -RBT:to_find 0.024575 -RBT:find_more 0.024575 -RBS:_offenere -0.024575 -RBT:of_more -0.024575 -RBS:X_offenere 0.024575 -RBT:more_transparent -0.024575 -R:X:NX_offenere:N1_rather_to_find_more_open 0.024575 -R:X:offenere:use_of_more_transparent -0.024575 -RBT:use_of -0.024575 -RBT:X1_rather 0.024575 -RBT:rather_to 0.024575 -RBT:transparent_ -0.024575 -RBS:sie_ -0.018975 -RBT:_but -0.024525 -RBS:sie_das 0.018925000000000004 -RBS:,_X 0.0008750000000000016 -RBS:geschichte_des 0.012175 -RBS:X_bedeutet -0.01025 -R:X:genau_das:this 0.012075 -RBT:X1_divided 0.021825 -RBS:wird_es 0.015600000000000001 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a/training/dtrain/examples/parallelized/work/weights.2 b/training/dtrain/examples/parallelized/work/weights.2 deleted file mode 100644 index d4d991cc..00000000 --- a/training/dtrain/examples/parallelized/work/weights.2 +++ /dev/null @@ -1,3283 +0,0 @@ -PhraseModel_2 1.0269510219740419 -PhraseModel_4 -0.9513029895223477 -LanguageModel 0.7624857739903501 -PhraseModel_0 -0.5970851475888205 -PassThrough -0.5965 -LanguageModel_OOV -0.574025 -PhraseModel_1 0.5409508044032946 -PhraseModel_6 -0.436 -PhraseModel_3 0.05612135797070919 -WordPenalty 0.23405215365970794 -RBT:_X1 0.06795000000000001 -RBS:X_ -0.219825 -RBT:_S1 0.05992500000000002 -Glue 0.05992500000000002 -RBT:S1_X2 0.05992500000000002 -R:S:NS_NX:N1_N2 0.05992500000000002 -RBS:_S 0.05992500000000002 -Shape_S01010_T01010 0.05992500000000002 -RBS:S_X 0.05992500000000002 -Shape_S10000_T10000 -0.15637500000000001 -RBT:X1_ -0.17282499999999998 -RBT:X2_ 0.018400000000000034 -Shape_S11000_T11000 -0.11565000000000003 -Shape_S01100_T01100 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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=LexicalFeatures 1 1 1 -#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 deleted file mode 100644 index a0d64fa0..00000000 --- a/training/dtrain/examples/standard/dtrain.ini +++ /dev/null @@ -1,9 +0,0 @@ -bitext=nc-wmt11.100.gz # input bitext -output=- # a weights file (add .gz for gzip compression) or STDOUT '-' -decoder_conf=./cdec.ini # config for cdec -iterations=3 # run over input 3 times -k=100 # use 100best lists -N=4 # optimize (approx.) BLEU4 -learning_rate=0.1 # learning rate -margin=1.0 # margin for margin perceptron -print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough diff --git a/training/dtrain/examples/standard/expected-output.gz b/training/dtrain/examples/standard/expected-output.gz deleted file mode 100644 index 01447614..00000000 Binary files a/training/dtrain/examples/standard/expected-output.gz and /dev/null differ diff --git a/training/dtrain/examples/standard/nc-wmt11.100.gz b/training/dtrain/examples/standard/nc-wmt11.100.gz deleted file mode 100644 index a9892a55..00000000 Binary files a/training/dtrain/examples/standard/nc-wmt11.100.gz and /dev/null differ diff --git a/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz b/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz deleted file mode 100644 index 7ce81057..00000000 Binary files a/training/dtrain/examples/standard/nc-wmt11.en.srilm.gz and /dev/null differ diff --git a/training/dtrain/examples/standard/nc-wmt11.grammar.gz b/training/dtrain/examples/standard/nc-wmt11.grammar.gz deleted file mode 100644 index ce4024a1..00000000 Binary files a/training/dtrain/examples/standard/nc-wmt11.grammar.gz and /dev/null differ diff --git a/training/dtrain/examples/standard/nc-wmt11.gz b/training/dtrain/examples/standard/nc-wmt11.gz deleted file mode 100644 index c39c5aef..00000000 Binary files a/training/dtrain/examples/standard/nc-wmt11.gz and /dev/null differ diff --git a/training/dtrain/examples/standard/weights b/training/dtrain/examples/standard/weights deleted file mode 100644 index 84bfb08b..00000000 --- a/training/dtrain/examples/standard/weights +++ /dev/null @@ -1,13115 +0,0 @@ -WordPenalty -155.5642834177483 -LanguageModel 908.5842451465993 -LanguageModel_OOV -1731.5999999999981 -Shape_S10000_T10000 -218.19999999999979 -Shape_S11000_T11000 -320.19999999999987 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a/training/dtrain/examples/toy/expected-output b/training/dtrain/examples/toy/expected-output deleted file mode 100644 index e69de29b..00000000 diff --git a/training/dtrain/examples/toy/grammar.gz b/training/dtrain/examples/toy/grammar.gz deleted file mode 100644 index 8eb0d29e..00000000 Binary files a/training/dtrain/examples/toy/grammar.gz and /dev/null differ diff --git a/training/dtrain/examples/toy/in b/training/dtrain/examples/toy/in deleted file mode 100644 index 5d70795d..00000000 --- a/training/dtrain/examples/toy/in +++ /dev/null @@ -1,2 +0,0 @@ -ich sah ein kleines haus ||| i saw a little house -ich fand ein kleines haus ||| i found a little house diff --git a/training/dtrain/examples/toy/weights b/training/dtrain/examples/toy/weights deleted file mode 100644 index 5c1931ff..00000000 --- a/training/dtrain/examples/toy/weights +++ /dev/null @@ -1,6 +0,0 @@ -house_rule 4 -shell_rule -2 -small_rule -1 -little_rule 3 -Glue -8 -PassThrough -10 -- cgit v1.2.3