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authorAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
committerAvneesh Saluja <asaluja@gmail.com>2013-03-28 18:28:16 -0700
commit3d8d656fa7911524e0e6885647173474524e0784 (patch)
tree81b1ee2fcb67980376d03f0aa48e42e53abff222 /training/dtrain/examples/parallelized
parentbe7f57fdd484e063775d7abf083b9fa4c403b610 (diff)
parent96fedabebafe7a38a6d5928be8fff767e411d705 (diff)
fixed conflicts
Diffstat (limited to 'training/dtrain/examples/parallelized')
-rw-r--r--training/dtrain/examples/parallelized/README5
-rw-r--r--training/dtrain/examples/parallelized/cdec.ini22
-rw-r--r--training/dtrain/examples/parallelized/dtrain.ini16
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.0.gzbin0 -> 8318 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.1.gzbin0 -> 358560 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.2.gzbin0 -> 1014466 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.3.gzbin0 -> 391811 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.4.gzbin0 -> 149590 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.5.gzbin0 -> 537024 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.6.gzbin0 -> 291286 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.7.gzbin0 -> 1038140 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.8.gzbin0 -> 419889 bytes
-rw-r--r--training/dtrain/examples/parallelized/grammar/grammar.out.9.gzbin0 -> 409140 bytes
-rw-r--r--training/dtrain/examples/parallelized/in10
-rw-r--r--training/dtrain/examples/parallelized/refs10
-rw-r--r--training/dtrain/examples/parallelized/work/out.0.061
-rw-r--r--training/dtrain/examples/parallelized/work/out.0.162
-rw-r--r--training/dtrain/examples/parallelized/work/out.1.061
-rw-r--r--training/dtrain/examples/parallelized/work/out.1.162
-rw-r--r--training/dtrain/examples/parallelized/work/shard.0.0.in5
-rw-r--r--training/dtrain/examples/parallelized/work/shard.0.0.refs5
-rw-r--r--training/dtrain/examples/parallelized/work/shard.1.0.in5
-rw-r--r--training/dtrain/examples/parallelized/work/shard.1.0.refs5
-rw-r--r--training/dtrain/examples/parallelized/work/weights.012
-rw-r--r--training/dtrain/examples/parallelized/work/weights.0.012
-rw-r--r--training/dtrain/examples/parallelized/work/weights.0.112
-rw-r--r--training/dtrain/examples/parallelized/work/weights.112
-rw-r--r--training/dtrain/examples/parallelized/work/weights.1.011
-rw-r--r--training/dtrain/examples/parallelized/work/weights.1.112
29 files changed, 400 insertions, 0 deletions
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
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.0.gz
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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
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.1.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.2.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.2.gz
new file mode 100644
index 00000000..145d0dc0
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.2.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.3.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.3.gz
new file mode 100644
index 00000000..105593ff
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+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.3.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.4.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.4.gz
new file mode 100644
index 00000000..30781f48
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+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.4.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.5.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.5.gz
new file mode 100644
index 00000000..834ee759
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.5.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.6.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.6.gz
new file mode 100644
index 00000000..2e76f348
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.6.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.7.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.7.gz
new file mode 100644
index 00000000..3741a887
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.7.gz
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diff --git a/training/dtrain/examples/parallelized/grammar/grammar.out.8.gz b/training/dtrain/examples/parallelized/grammar/grammar.out.8.gz
new file mode 100644
index 00000000..ebf6bd0c
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.8.gz
Binary files 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
--- /dev/null
+++ b/training/dtrain/examples/parallelized/grammar/grammar.out.9.gz
Binary files 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 @@
+<seg grammar="grammar/grammar.out.0.gz" id="0">europas nach rassen geteiltes haus</seg>
+<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>
+<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>
+<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>
+<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>
+<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>
+<seg grammar="grammar/grammar.out.6.gz" id="6">das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt .</seg>
+<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>
+<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>
+<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>
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 @@
+<seg grammar="grammar/grammar.out.0.gz" id="0">europas nach rassen geteiltes haus</seg>
+<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>
+<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>
+<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>
+<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>
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
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+<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>
+<seg grammar="grammar/grammar.out.6.gz" id="6">das aber wird es nicht , wie die geschichte des rassismus in amerika deutlich zeigt .</seg>
+<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>
+<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>
+<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>
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
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+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 .
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