From 6b6a2d966a0d341fe5abee8b332a9d89f6c95bc4 Mon Sep 17 00:00:00 2001 From: Patrick Simianer Date: Mon, 13 Jan 2014 17:15:24 +0100 Subject: Felix' https://github.com/felleh lexical word alignment features --- training/dtrain/examples/standard/cdec.ini | 3 +- training/dtrain/examples/standard/expected-output | 115 +++++++++++----------- 2 files changed, 60 insertions(+), 58 deletions(-) (limited to 'training/dtrain/examples/standard') diff --git a/training/dtrain/examples/standard/cdec.ini b/training/dtrain/examples/standard/cdec.ini index 6cba9e1e..044ae2f5 100644 --- a/training/dtrain/examples/standard/cdec.ini +++ b/training/dtrain/examples/standard/cdec.ini @@ -21,7 +21,8 @@ feature_function=RuleIdentityFeatures feature_function=RuleSourceBigramFeatures feature_function=RuleTargetBigramFeatures feature_function=RuleShape -feature_function=RuleWordAlignmentFeatures +#feature_function=RuleWordAlignmentFeatures +feature_function=LexicalFeatures 1 1 1 #feature_function=SourceSpanSizeFeatures #feature_function=SourceWordPenalty #feature_function=SpanFeatures diff --git a/training/dtrain/examples/standard/expected-output b/training/dtrain/examples/standard/expected-output index fa831221..2460cfbb 100644 --- a/training/dtrain/examples/standard/expected-output +++ b/training/dtrain/examples/standard/expected-output @@ -4,7 +4,8 @@ Reading ./nc-wmt11.en.srilm.gz ----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100 **************************************************************************************************** Example feature: Shape_S00000_T00000 -Seeding random number sequence to 4138446869 +T=1 I=1 D=1 +Seeding random number sequence to 2327685089 dtrain Parameters: @@ -36,87 +37,87 @@ Iteration #1 of 3. . 10 Stopping after 10 input sentences. WEIGHTS - Glue = -80.3 - WordPenalty = -51.247 - LanguageModel = +282.46 - LanguageModel_OOV = -85.8 - PhraseModel_0 = -100.06 - PhraseModel_1 = -98.692 - PhraseModel_2 = -9.4958 - PhraseModel_3 = +18.535 - PhraseModel_4 = +62.35 - PhraseModel_5 = +7 - PhraseModel_6 = +31.4 - PassThrough = -126.5 + Glue = +6.9 + WordPenalty = -46.426 + LanguageModel = +535.12 + LanguageModel_OOV = -123.5 + PhraseModel_0 = -160.73 + PhraseModel_1 = -350.13 + PhraseModel_2 = -187.81 + PhraseModel_3 = +172.04 + PhraseModel_4 = +0.90108 + PhraseModel_5 = +21.6 + PhraseModel_6 = +67.2 + PassThrough = -149.7 --- - 1best avg score: 0.25631 (+0.25631) - 1best avg model score: -4843.6 (-4843.6) - avg # pairs: 744.4 + 1best avg score: 0.23327 (+0.23327) + 1best avg model score: -9084.9 (-9084.9) + avg # pairs: 780.7 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 1274 + non0 feature count: 1389 avg list sz: 91.3 - avg f count: 143.72 -(time 0.4 min, 2.4 s/S) + avg f count: 146.2 +(time 0.37 min, 2.2 s/S) Iteration #2 of 3. . 10 WEIGHTS - Glue = -117.4 - WordPenalty = -99.584 - LanguageModel = +395.05 - LanguageModel_OOV = -136.8 - PhraseModel_0 = +40.614 - PhraseModel_1 = -123.29 - PhraseModel_2 = -152 - PhraseModel_3 = -161.13 - PhraseModel_4 = -76.379 - PhraseModel_5 = +39.1 - PhraseModel_6 = +137.7 - PassThrough = -162.1 + Glue = -43 + WordPenalty = -22.019 + LanguageModel = +591.53 + LanguageModel_OOV = -252.1 + PhraseModel_0 = -120.21 + PhraseModel_1 = -43.589 + PhraseModel_2 = +73.53 + PhraseModel_3 = +113.7 + PhraseModel_4 = -223.81 + PhraseModel_5 = +64 + PhraseModel_6 = +54.8 + PassThrough = -331.1 --- - 1best avg score: 0.26751 (+0.011198) - 1best avg model score: -10061 (-5216.9) - avg # pairs: 639.1 + 1best avg score: 0.29568 (+0.062413) + 1best avg model score: -15879 (-6794.1) + avg # pairs: 566.1 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 1845 + non0 feature count: 1931 avg list sz: 91.3 - avg f count: 139.88 -(time 0.35 min, 2.1 s/S) + avg f count: 139.89 +(time 0.33 min, 2 s/S) Iteration #3 of 3. . 10 WEIGHTS - Glue = -101.1 - WordPenalty = -139.97 - LanguageModel = +327.98 - LanguageModel_OOV = -234.7 - PhraseModel_0 = -144.49 - PhraseModel_1 = -263.88 - PhraseModel_2 = -149.25 - PhraseModel_3 = -38.805 - PhraseModel_4 = +50.575 - PhraseModel_5 = -52.4 - PhraseModel_6 = +41.6 - PassThrough = -230.2 + Glue = -44.3 + WordPenalty = -131.85 + LanguageModel = +230.91 + LanguageModel_OOV = -285.4 + PhraseModel_0 = -194.27 + PhraseModel_1 = -294.83 + PhraseModel_2 = -92.043 + PhraseModel_3 = -140.24 + PhraseModel_4 = +85.613 + PhraseModel_5 = +238.1 + PhraseModel_6 = +158.7 + PassThrough = -359.6 --- - 1best avg score: 0.36222 (+0.094717) - 1best avg model score: -17416 (-7355.5) - avg # pairs: 661.2 + 1best avg score: 0.37375 (+0.078067) + 1best avg model score: -14519 (+1359.7) + avg # pairs: 545.4 avg # rank err: 0 (meaningless) avg # margin viol: 0 k-best loss imp: 100% - non0 feature count: 2163 + non0 feature count: 2218 avg list sz: 91.3 - avg f count: 132.53 -(time 0.33 min, 2 s/S) + avg f count: 137.77 +(time 0.35 min, 2.1 s/S) Writing weights file to '-' ... done --- -Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.36222]. -This took 1.0833 min. +Best iteration: 3 [SCORE 'fixed_stupid_bleu'=0.37375]. +This took 1.05 min. -- cgit v1.2.3