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Diffstat (limited to 'training/dtrain/example/parallelized/work')
31 files changed, 31116 insertions, 0 deletions
diff --git a/training/dtrain/example/parallelized/work/out.0.0 b/training/dtrain/example/parallelized/work/out.0.0 new file mode 100644 index 00000000..da7c20a4 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.0.0 @@ -0,0 +1,44 @@ +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/example/parallelized/work/out.0.1 b/training/dtrain/example/parallelized/work/out.0.1 new file mode 100644 index 00000000..c18747fb --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.0.1 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.0.2 b/training/dtrain/example/parallelized/work/out.0.2 new file mode 100644 index 00000000..c859db3f --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.0.2 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.1.0 b/training/dtrain/example/parallelized/work/out.1.0 new file mode 100644 index 00000000..7a72e275 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.1.0 @@ -0,0 +1,44 @@ +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/example/parallelized/work/out.1.1 b/training/dtrain/example/parallelized/work/out.1.1 new file mode 100644 index 00000000..bd209601 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.1.1 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.1.2 b/training/dtrain/example/parallelized/work/out.1.2 new file mode 100644 index 00000000..f5fc817b --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.1.2 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.2.0 b/training/dtrain/example/parallelized/work/out.2.0 new file mode 100644 index 00000000..2d27fdc6 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.2.0 @@ -0,0 +1,44 @@ +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/example/parallelized/work/out.2.1 b/training/dtrain/example/parallelized/work/out.2.1 new file mode 100644 index 00000000..a6cef2b1 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.2.1 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.2.2 b/training/dtrain/example/parallelized/work/out.2.2 new file mode 100644 index 00000000..908e5214 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.2.2 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.3.0 b/training/dtrain/example/parallelized/work/out.3.0 new file mode 100644 index 00000000..d2bad0b2 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.3.0 @@ -0,0 +1,44 @@ +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/example/parallelized/work/out.3.1 b/training/dtrain/example/parallelized/work/out.3.1 new file mode 100644 index 00000000..3f8c45c4 --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.3.1 @@ -0,0 +1,45 @@ +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/example/parallelized/work/out.3.2 b/training/dtrain/example/parallelized/work/out.3.2 new file mode 100644 index 00000000..d616560d --- /dev/null +++ b/training/dtrain/example/parallelized/work/out.3.2 @@ -0,0 +1,45 @@ +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/example/parallelized/work/shard.0.0 b/training/dtrain/example/parallelized/work/shard.0.0 new file mode 100644 index 00000000..a0ef6f54 --- /dev/null +++ b/training/dtrain/example/parallelized/work/shard.0.0 @@ -0,0 +1,3 @@ +<seg grammar="grammar/grammar.out.0.gz" id="0">europas nach rassen geteiltes haus</seg> ||| europe 's divided racial house +<seg grammar="grammar/grammar.out.1.gz" id="1">ein gemeinsames merkmal aller extremen rechten in europa ist ihr rassismus und die tatsache , daß sie das einwanderungsproblem als politischen hebel benutzen .</seg> ||| a common feature of europe 's extreme right is its racism and use of the immigration issue as a political wedge . +<seg grammar="grammar/grammar.out.2.gz" id="2">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 .</seg> ||| 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/example/parallelized/work/shard.1.0 b/training/dtrain/example/parallelized/work/shard.1.0 new file mode 100644 index 00000000..05f0273b --- /dev/null +++ b/training/dtrain/example/parallelized/work/shard.1.0 @@ -0,0 +1,3 @@ +<seg grammar="grammar/grammar.out.3.gz" id="3">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 .</seg> ||| 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 . +<seg grammar="grammar/grammar.out.4.gz" id="4">eine alternde einheimische bevölkerung und immer offenere grenzen vermehren die rassistische zersplitterung in den europäischen ländern .</seg> ||| an aging population at home and ever more open borders imply increasing racial fragmentation in european countries . +<seg grammar="grammar/grammar.out.5.gz" id="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 .</seg> ||| 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/example/parallelized/work/shard.2.0 b/training/dtrain/example/parallelized/work/shard.2.0 new file mode 100644 index 00000000..0528d357 --- /dev/null +++ b/training/dtrain/example/parallelized/work/shard.2.0 @@ -0,0 +1,3 @@ +<seg grammar="grammar/grammar.out.6.gz" id="6">das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt .</seg> ||| it will not , as america 's racial history clearly shows . +<seg grammar="grammar/grammar.out.7.gz" id="7">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 .</seg> ||| 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 . +<seg grammar="grammar/grammar.out.8.gz" id="8">der erste schritt , um mit der rassenfrage umzugehen ist , ursache und folgen rassistischer feindseligkeiten zu verstehen , auch dann , wenn das bedeutet , unangenehme tatsachen aufzudecken .</seg> ||| 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/example/parallelized/work/shard.3.0 b/training/dtrain/example/parallelized/work/shard.3.0 new file mode 100644 index 00000000..f7cbb3e3 --- /dev/null +++ b/training/dtrain/example/parallelized/work/shard.3.0 @@ -0,0 +1 @@ +<seg grammar="grammar/grammar.out.9.gz" id="9">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 .</seg> ||| this is precisely what a large amount of research in economics , sociology , psychology and political science has done for the us . diff --git 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