diff options
| -rw-r--r-- | tests/chart.nbest-with-alignment/truth/results.txt | 52 | ||||
| -rw-r--r-- | tests/chart.show-weights.target-syntax/truth/results.txt | 18 | ||||
| -rw-r--r-- | tests/misc.binarize-compress-pt/truth/results.txt | 20 | ||||
| -rw-r--r-- | tests/phrase.compresspt/truth/results.txt | 16 | ||||
| -rw-r--r-- | tests/phrase.lattice-distortion/truth/results.txt | 76 | ||||
| -rw-r--r-- | tests/phrase.nbest-multi-factor/truth/results.txt | 12 | ||||
| -rw-r--r-- | tests/phrase.nbest-with-alignment/truth/results.txt | 16 | ||||
| -rw-r--r-- | tests/phrase.show-weights.lex-reorder/truth/results.txt | 30 | ||||
| -rw-r--r-- | tests/phrase.show-weights/truth/results.txt | 20 | ||||
| -rw-r--r-- | tests/phrase.xml-markup/truth/results.txt | 126 |
10 files changed, 193 insertions, 193 deletions
diff --git a/tests/chart.nbest-with-alignment/truth/results.txt b/tests/chart.nbest-with-alignment/truth/results.txt index c9f712a..8b1534a 100644 --- a/tests/chart.nbest-with-alignment/truth/results.txt +++ b/tests/chart.nbest-with-alignment/truth/results.txt @@ -4,35 +4,35 @@ TRANSLATION_2=nach einem steilen Rückgang der Morgen der Prager Stock Markt ihr TRANSLATION_3=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht beinahe die Hälfte der täglichen Handel . regelmäßigen TRANSLATION_4=Über die Prag Stock Market sofort seinem Sturz von Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday TRANSLATION_5=diesmal in Aktien an der Wall Street dem Fall ist für die fallen . -LMLOAD_TIME ~ 0.242 -PTLOAD_TIME ~ 0.253 -PTLOAD_TIME ~ 14.428 -PTLOAD_TIME ~ 14.575 +LMLOAD_TIME ~ 0.501 +PTLOAD_TIME ~ 0.512 +PTLOAD_TIME ~ 23.567 +PTLOAD_TIME ~ 24.016 SCORE_0 = -12.918 SCORE_1 = -0.774 SCORE_2 = -12.745 SCORE_3 = -117.584 SCORE_4 = -122.749 SCORE_5 = -9.149 -TRANSLATION_0_NBEST_1=Prag überquillt Stock Markt , durch das Ende des Handel Tag ||| LM: -33.5161 WordPenalty: -5.64583 UnknownWordPenalty: 0 PhraseModel: -38.0654 -36.4637 -28.3614 -20.8156 8.99907 PhraseModel:2: 2.99969 ||| -12.9179 ||| ||| -TRANSLATION_0_NBEST_2=Prag überquillt Stock Markt , durch das Ende des Devisen Tag ||| LM: -33.5161 WordPenalty: -5.64583 UnknownWordPenalty: 0 PhraseModel: -37.0299 -35.857 -29.8466 -22.9556 8.99907 PhraseModel:2: 2.99969 ||| -12.9214 ||| ||| -TRANSLATION_0_NBEST_3=Prag überquillt Stock Markt fällt , durch das Ende des Handel Tag ||| LM: -37.295 WordPenalty: -6.08012 UnknownWordPenalty: 0 PhraseModel: -33.9846 -29.401 -25.5504 -22.3319 9.99896 PhraseModel:2: 5.99938 ||| -12.9238 ||| ||| -TRANSLATION_0_NBEST_4=Prag überquillt Stock Markt fällt , durch das Ende des Handel Tag ||| LM: -37.295 WordPenalty: -6.08012 UnknownWordPenalty: 0 PhraseModel: -33.9846 -29.401 -25.5504 -22.3319 9.99896 PhraseModel:2: 5.99938 ||| -12.9238 ||| ||| -TRANSLATION_1_NBEST_1= ||| LM: -3.91806 WordPenalty: -0.868589 UnknownWordPenalty: 0 PhraseModel: 0 0 0 0 0 PhraseModel:2: 0 ||| -0.774374 ||| ||| -TRANSLATION_2_NBEST_1=nach einem steilen Rückgang der Morgen der Prager Stock Markt ihre Verluste . korrigiert ||| LM: -42.7378 WordPenalty: -6.94871 UnknownWordPenalty: 0 PhraseModel: -22.0149 -19.4038 -18.8721 -20.7816 10.9989 PhraseModel:2: 5.99938 ||| -12.7448 ||| ||| -TRANSLATION_2_NBEST_2=nach einem steilen Rückgang der Morgen , der Prager Stock Markt ihre Verluste . korrigiert ||| LM: -44.3854 WordPenalty: -7.38301 UnknownWordPenalty: 0 PhraseModel: -20.8618 -18.2393 -18.5446 -21.4071 10.9989 PhraseModel:2: 6.99927 ||| -12.7906 ||| ||| -TRANSLATION_2_NBEST_3=nach einem scharfen Rückgang der Morgen der Prager Stock Markt ihre Verluste . korrigiert ||| LM: -42.7378 WordPenalty: -6.94871 UnknownWordPenalty: 0 PhraseModel: -22.1582 -19.6551 -19.9314 -21.7261 10.9989 PhraseModel:2: 5.99938 ||| -12.8243 ||| ||| -TRANSLATION_2_NBEST_4=nach einem steilen Rückgang der Morgen , der Prager Stock Markt ihre Verluste . korrigiert ||| LM: -44.3854 WordPenalty: -7.38301 UnknownWordPenalty: 0 PhraseModel: -20.402 -18.2393 -18.0671 -21.4071 11.9988 PhraseModel:2: 6.99927 ||| -12.8251 ||| ||| -TRANSLATION_3_NBEST_1=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht beinahe die Hälfte der täglichen Handel . regelmäßigen ||| LM: -63.3997 WordPenalty: -9.55448 UnknownWordPenalty: -100 PhraseModel: -23.0803 -18.4766 -26.2273 -22.9922 15.9983 PhraseModel:2: 12.9986 ||| -117.584 ||| ||| -TRANSLATION_3_NBEST_2=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreichte beinahe die Hälfte der täglichen Handel . regelmäßigen ||| LM: -63.3997 WordPenalty: -9.55448 UnknownWordPenalty: -100 PhraseModel: -22.6125 -18.1042 -27.2882 -24.0585 15.9983 PhraseModel:2: 12.9986 ||| -117.607 ||| ||| -TRANSLATION_3_NBEST_3=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht beinahe die Hälfte der täglichen gehandelt . regelmäßigen ||| LM: -63.1835 WordPenalty: -9.55448 UnknownWordPenalty: -100 PhraseModel: -22.5634 -18.6849 -28.2097 -25.1323 15.9983 PhraseModel:2: 12.9986 ||| -117.61 ||| ||| -TRANSLATION_3_NBEST_4=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht fast die Hälfte der täglichen Handel . regelmäßigen ||| LM: -63.3997 WordPenalty: -9.55448 UnknownWordPenalty: -100 PhraseModel: -23.5327 -18.9771 -26.2457 -23.0196 15.9983 PhraseModel:2: 12.9986 ||| -117.627 ||| ||| -TRANSLATION_4_NBEST_1=Über die Prag Stock Market sofort seinem Sturz von Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM: -63.8588 WordPenalty: -10.4231 UnknownWordPenalty: -100 PhraseModel: -57.5379 -54.5468 -45.845 -40.7049 18.998 PhraseModel:2: 7.99917 ||| -122.749 ||| ||| -TRANSLATION_4_NBEST_2=Über die Prag Stock Markt sofort ihren fallen aus Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM: -63.9225 WordPenalty: -10.4231 UnknownWordPenalty: -100 PhraseModel: -56.6908 -57.8191 -41.4948 -38.5075 18.998 PhraseModel:2: 5.99938 ||| -122.75 ||| ||| -TRANSLATION_4_NBEST_3=Über die Prag Stock Markt sofort ihren fallen aus Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM: -63.9225 WordPenalty: -10.4231 UnknownWordPenalty: -100 PhraseModel: -56.6908 -57.8191 -41.4948 -38.5075 18.998 PhraseModel:2: 5.99938 ||| -122.75 ||| ||| -TRANSLATION_4_NBEST_4=Über die Prag Stock Markt sofort fortgesetzte seinem Sturz von Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM: -67.0807 WordPenalty: -10.8574 UnknownWordPenalty: -100 PhraseModel: -48.418 -50.1131 -42.5677 -42.2291 19.9979 PhraseModel:2: 6.99927 ||| -122.752 ||| ||| -TRANSLATION_5_NBEST_1=diesmal in Aktien an der Wall Street dem Fall ist für die fallen . ||| LM: -32.2937 WordPenalty: -6.94871 UnknownWordPenalty: 0 PhraseModel: -17.3218 -26.5953 -14.5791 -23.5759 9.99896 PhraseModel:2: 6.99927 ||| -9.14867 ||| ||| -TRANSLATION_5_NBEST_2=diesmal in Aktien an der Wall Street dem Fall ist dafür die fallen . ||| LM: -32.2937 WordPenalty: -6.94871 UnknownWordPenalty: 0 PhraseModel: -15.8795 -25.4668 -16.7206 -25.3747 9.99896 PhraseModel:2: 6.99927 ||| -9.15155 ||| ||| -TRANSLATION_5_NBEST_3=diesmal die fallen in Aktien an der Wall Street ist verantwortlich für die fallen . ||| LM: -37.6507 WordPenalty: -7.38301 UnknownWordPenalty: 0 PhraseModel: -9.75694 -16.2587 -12.1807 -21.6218 10.9989 PhraseModel:2: 10.9989 ||| -9.15602 ||| ||| -TRANSLATION_5_NBEST_4=diesmal die fallen in Aktien an der Wall Street ist verantwortungsvolle für die fallen . ||| LM: -37.6507 WordPenalty: -7.38301 UnknownWordPenalty: 0 PhraseModel: -8.97208 -15.2468 -13.6316 -23.5387 10.9989 PhraseModel:2: 10.9989 ||| -9.17054 ||| ||| -TOTAL_WALLTIME ~ 32 +TRANSLATION_0_NBEST_1=Prag überquillt Stock Markt , durch das Ende des Handel Tag ||| LM_1: -33.5161 WordPenalty_1: -5.64583 UnknownWordPenalty_1: 0 PhraseModel_1: -38.0654 -36.4637 -28.3614 -20.8156 8.99907 PhraseModel_2: 2.99969 ||| -12.9179 ||| ||| +TRANSLATION_0_NBEST_2=Prag überquillt Stock Markt , durch das Ende des Devisen Tag ||| LM_1: -33.5161 WordPenalty_1: -5.64583 UnknownWordPenalty_1: 0 PhraseModel_1: -37.0299 -35.857 -29.8466 -22.9556 8.99907 PhraseModel_2: 2.99969 ||| -12.9214 ||| ||| +TRANSLATION_0_NBEST_3=Prag überquillt Stock Markt fällt , durch das Ende des Handel Tag ||| LM_1: -37.295 WordPenalty_1: -6.08012 UnknownWordPenalty_1: 0 PhraseModel_1: -33.9846 -29.401 -25.5504 -22.3319 9.99896 PhraseModel_2: 5.99938 ||| -12.9238 ||| ||| +TRANSLATION_0_NBEST_4=Prag überquillt Stock Markt fällt , durch das Ende des Handel Tag ||| LM_1: -37.295 WordPenalty_1: -6.08012 UnknownWordPenalty_1: 0 PhraseModel_1: -33.9846 -29.401 -25.5504 -22.3319 9.99896 PhraseModel_2: 5.99938 ||| -12.9238 ||| ||| +TRANSLATION_1_NBEST_1= ||| LM_1: -3.91806 WordPenalty_1: -0.868589 UnknownWordPenalty_1: 0 PhraseModel_1: 0 0 0 0 0 PhraseModel_2: 0 ||| -0.774374 ||| ||| +TRANSLATION_2_NBEST_1=nach einem steilen Rückgang der Morgen der Prager Stock Markt ihre Verluste . korrigiert ||| LM_1: -42.7378 WordPenalty_1: -6.94871 UnknownWordPenalty_1: 0 PhraseModel_1: -22.0149 -19.4038 -18.8721 -20.7816 10.9989 PhraseModel_2: 5.99938 ||| -12.7448 ||| ||| +TRANSLATION_2_NBEST_2=nach einem steilen Rückgang der Morgen , der Prager Stock Markt ihre Verluste . korrigiert ||| LM_1: -44.3854 WordPenalty_1: -7.38301 UnknownWordPenalty_1: 0 PhraseModel_1: -20.8618 -18.2393 -18.5446 -21.4071 10.9989 PhraseModel_2: 6.99927 ||| -12.7906 ||| ||| +TRANSLATION_2_NBEST_3=nach einem scharfen Rückgang der Morgen der Prager Stock Markt ihre Verluste . korrigiert ||| LM_1: -42.7378 WordPenalty_1: -6.94871 UnknownWordPenalty_1: 0 PhraseModel_1: -22.1582 -19.6551 -19.9314 -21.7261 10.9989 PhraseModel_2: 5.99938 ||| -12.8243 ||| ||| +TRANSLATION_2_NBEST_4=nach einem steilen Rückgang der Morgen , der Prager Stock Markt ihre Verluste . korrigiert ||| LM_1: -44.3854 WordPenalty_1: -7.38301 UnknownWordPenalty_1: 0 PhraseModel_1: -20.402 -18.2393 -18.0671 -21.4071 11.9988 PhraseModel_2: 6.99927 ||| -12.8251 ||| ||| +TRANSLATION_3_NBEST_1=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht beinahe die Hälfte der täglichen Handel . regelmäßigen ||| LM_1: -63.3997 WordPenalty_1: -9.55448 UnknownWordPenalty_1: -100 PhraseModel_1: -23.0803 -18.4766 -26.2273 -22.9922 15.9983 PhraseModel_2: 12.9986 ||| -117.584 ||| ||| +TRANSLATION_3_NBEST_2=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreichte beinahe die Hälfte der täglichen Handel . regelmäßigen ||| LM_1: -63.3997 WordPenalty_1: -9.55448 UnknownWordPenalty_1: -100 PhraseModel_1: -22.6125 -18.1042 -27.2882 -24.0585 15.9983 PhraseModel_2: 12.9986 ||| -117.607 ||| ||| +TRANSLATION_3_NBEST_3=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht beinahe die Hälfte der täglichen gehandelt . regelmäßigen ||| LM_1: -63.1835 WordPenalty_1: -9.55448 UnknownWordPenalty_1: -100 PhraseModel_1: -22.5634 -18.6849 -28.2097 -25.1323 15.9983 PhraseModel_2: 12.9986 ||| -117.61 ||| ||| +TRANSLATION_3_NBEST_4=Geschäfte mit Aktien aus der Tschechischen Energy Enterprise ( ČEZ ) erreicht fast die Hälfte der täglichen Handel . regelmäßigen ||| LM_1: -63.3997 WordPenalty_1: -9.55448 UnknownWordPenalty_1: -100 PhraseModel_1: -23.5327 -18.9771 -26.2457 -23.0196 15.9983 PhraseModel_2: 12.9986 ||| -117.627 ||| ||| +TRANSLATION_4_NBEST_1=Über die Prag Stock Market sofort seinem Sturz von Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM_1: -63.8588 WordPenalty_1: -10.4231 UnknownWordPenalty_1: -100 PhraseModel_1: -57.5379 -54.5468 -45.845 -40.7049 18.998 PhraseModel_2: 7.99917 ||| -122.749 ||| ||| +TRANSLATION_4_NBEST_2=Über die Prag Stock Markt sofort ihren fallen aus Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM_1: -63.9225 WordPenalty_1: -10.4231 UnknownWordPenalty_1: -100 PhraseModel_1: -56.6908 -57.8191 -41.4948 -38.5075 18.998 PhraseModel_2: 5.99938 ||| -122.75 ||| ||| +TRANSLATION_4_NBEST_3=Über die Prag Stock Markt sofort ihren fallen aus Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM_1: -63.9225 WordPenalty_1: -10.4231 UnknownWordPenalty_1: -100 PhraseModel_1: -56.6908 -57.8191 -41.4948 -38.5075 18.998 PhraseModel_2: 5.99938 ||| -122.75 ||| ||| +TRANSLATION_4_NBEST_4=Über die Prag Stock Markt sofort fortgesetzte seinem Sturz von Montag Anfang der Handel , wenn es um beinahe sechs Prozent . Tuesday ||| LM_1: -67.0807 WordPenalty_1: -10.8574 UnknownWordPenalty_1: -100 PhraseModel_1: -48.418 -50.1131 -42.5677 -42.2291 19.9979 PhraseModel_2: 6.99927 ||| -122.752 ||| ||| +TRANSLATION_5_NBEST_1=diesmal in Aktien an der Wall Street dem Fall ist für die fallen . ||| LM_1: -32.2937 WordPenalty_1: -6.94871 UnknownWordPenalty_1: 0 PhraseModel_1: -17.3218 -26.5953 -14.5791 -23.5759 9.99896 PhraseModel_2: 6.99927 ||| -9.14867 ||| ||| +TRANSLATION_5_NBEST_2=diesmal in Aktien an der Wall Street dem Fall ist dafür die fallen . ||| LM_1: -32.2937 WordPenalty_1: -6.94871 UnknownWordPenalty_1: 0 PhraseModel_1: -15.8795 -25.4668 -16.7206 -25.3747 9.99896 PhraseModel_2: 6.99927 ||| -9.15155 ||| ||| +TRANSLATION_5_NBEST_3=diesmal die fallen in Aktien an der Wall Street ist verantwortlich für die fallen . ||| LM_1: -37.6507 WordPenalty_1: -7.38301 UnknownWordPenalty_1: 0 PhraseModel_1: -9.75694 -16.2587 -12.1807 -21.6218 10.9989 PhraseModel_2: 10.9989 ||| -9.15602 ||| ||| +TRANSLATION_5_NBEST_4=diesmal die fallen in Aktien an der Wall Street ist verantwortungsvolle für die fallen . ||| LM_1: -37.6507 WordPenalty_1: -7.38301 UnknownWordPenalty_1: 0 PhraseModel_1: -8.97208 -15.2468 -13.6316 -23.5387 10.9989 PhraseModel_2: 10.9989 ||| -9.17054 ||| ||| +TOTAL_WALLTIME ~ 53 diff --git a/tests/chart.show-weights.target-syntax/truth/results.txt b/tests/chart.show-weights.target-syntax/truth/results.txt index dfdfbc5..945d7e9 100644 --- a/tests/chart.show-weights.target-syntax/truth/results.txt +++ b/tests/chart.show-weights.target-syntax/truth/results.txt @@ -1,10 +1,10 @@ -WEIGHT_1=LM 0.210707 -WEIGHT_2=WordPenalty -0.538526 -WEIGHT_3=UnknownWordPenalty 1.000000 -WEIGHT_4=PhraseModel 0.067170 -WEIGHT_5=PhraseModel 0.024389 -WEIGHT_6=PhraseModel 0.013606 -WEIGHT_7=PhraseModel 0.024433 -WEIGHT_8=PhraseModel -0.103362 -WEIGHT_9=PhraseModel:2 0.017807 +WEIGHT_1=LM_1 0.210707 +WEIGHT_2=WordPenalty_1 -0.538526 +WEIGHT_3=UnknownWordPenalty_1 1.000000 +WEIGHT_4=PhraseModel_1 0.067170 +WEIGHT_5=PhraseModel_1 0.024389 +WEIGHT_6=PhraseModel_1 0.013606 +WEIGHT_7=PhraseModel_1 0.024433 +WEIGHT_8=PhraseModel_1 -0.103362 +WEIGHT_9=PhraseModel_2 0.017807 TOTAL_WALLTIME ~ 1 diff --git a/tests/misc.binarize-compress-pt/truth/results.txt b/tests/misc.binarize-compress-pt/truth/results.txt index 50c6ec0..611ba9b 100644 --- a/tests/misc.binarize-compress-pt/truth/results.txt +++ b/tests/misc.binarize-compress-pt/truth/results.txt @@ -1,10 +1,10 @@ -0 ||| draft calendar of conferences and meetings in the economic , social and related fields for the biennium 2002 -2003 . (e) ||| Distortion: 0 LexicalReordering: -1.6499 0 0 -1.2849 0 0 LM: -48.7038 WordPenalty: -21 UnknownWordPenalty: 0 PhraseModel: -0.182322 -24.8097 -0.112053 -10.5619 4.99948 ||| -10.7284 -1 ||| international cooperation in the field of the information ||| Distortion: 0 LexicalReordering: -2.29846 0 0 -0.643025 0 0 LM: -25.0678 WordPenalty: -8 UnknownWordPenalty: 0 PhraseModel: -7.40497 -10.3773 -0.289889 -5.58972 3.99959 ||| -4.91989 -2 ||| documentation ||| Distortion: 0 LexicalReordering: -0.387116 0 0 0 0 0 LM: -6.58617 WordPenalty: -1 UnknownWordPenalty: 0 PhraseModel: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 -3 ||| report of the secretary - general on the implementation of the council resolution 2000 / 28 . (f) ||| Distortion: -12 LexicalReordering: -0.915572 0 -1.89566 -0.18149 0 -3.09273 LM: -43.473 WordPenalty: -18 UnknownWordPenalty: 0 PhraseModel: -2.72202 -9.26263 -0.424235 -6.9993 6.99927 ||| -9.13721 -4 ||| long - term programme in support for haiti ||| Distortion: 0 LexicalReordering: -1.49003 0 0 -0.710431 0 0 LM: -43.4164 WordPenalty: -8 UnknownWordPenalty: 0 PhraseModel: -0.302589 -6.68227 -0.457356 -8.33598 2.99969 ||| -5.86011 -5 ||| documentation ||| Distortion: 0 LexicalReordering: -0.387116 0 0 0 0 0 LM: -6.58617 WordPenalty: -1 UnknownWordPenalty: 0 PhraseModel: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 -6 ||| report of the secretary - general ( council decision 2000 / 235 ) . (g) ||| Distortion: 0 LexicalReordering: -1.75105 0 0 -1.75669 0 0 LM: -40.9287 WordPenalty: -15 UnknownWordPenalty: 0 PhraseModel: -0.0621318 -5.24708 -0.0971644 -5.02861 4.99948 ||| -7.13874 -7 ||| malaria and diarreicas diseases , in particular cholera ||| Distortion: -4 LexicalReordering: -0.313572 -0.762139 -0.510826 0 0 -1.71374 LM: -43.2929 WordPenalty: -8 UnknownWordPenalty: -200 PhraseModel: -0.542827 -3.17519 -0.665745 -3.32462 2.99969 ||| -205.872 -8 ||| documentation ||| Distortion: 0 LexicalReordering: -0.387116 0 0 0 0 0 LM: -6.58617 WordPenalty: -1 UnknownWordPenalty: 0 PhraseModel: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 -9 ||| note by the secretary - general transmitting the report of the director general of the world health organization ( council resolution 1998 / 36 ) ||| Distortion: -12 LexicalReordering: -7.97295 0 -2.56589 -3.58023 0 -5.27332 LM: -71.3034 WordPenalty: -25 UnknownWordPenalty: 0 PhraseModel: -11.6595 -24.7038 -1.66432 -12.3694 11.9988 ||| -15.642 +0 ||| draft calendar of conferences and meetings in the economic , social and related fields for the biennium 2002 -2003 . (e) ||| Distortion_1: 0 LexicalReordering_1: -1.6499 0 0 -1.2849 0 0 LM_1: -48.7038 WordPenalty_1: -21 UnknownWordPenalty_1: 0 PhraseModel_1: -0.182322 -24.8097 -0.112053 -10.5619 4.99948 ||| -10.7284 +1 ||| international cooperation in the field of the information ||| Distortion_1: 0 LexicalReordering_1: -2.29846 0 0 -0.643025 0 0 LM_1: -25.0678 WordPenalty_1: -8 UnknownWordPenalty_1: 0 PhraseModel_1: -7.40497 -10.3773 -0.289889 -5.58972 3.99959 ||| -4.91989 +2 ||| documentation ||| Distortion_1: 0 LexicalReordering_1: -0.387116 0 0 0 0 0 LM_1: -6.58617 WordPenalty_1: -1 UnknownWordPenalty_1: 0 PhraseModel_1: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 +3 ||| report of the secretary - general on the implementation of the council resolution 2000 / 28 . (f) ||| Distortion_1: -12 LexicalReordering_1: -0.915572 0 -1.89566 -0.18149 0 -3.09273 LM_1: -43.473 WordPenalty_1: -18 UnknownWordPenalty_1: 0 PhraseModel_1: -2.72202 -9.26263 -0.424235 -6.9993 6.99927 ||| -9.13721 +4 ||| long - term programme in support for haiti ||| Distortion_1: 0 LexicalReordering_1: -1.49003 0 0 -0.710431 0 0 LM_1: -43.4164 WordPenalty_1: -8 UnknownWordPenalty_1: 0 PhraseModel_1: -0.302589 -6.68227 -0.457356 -8.33598 2.99969 ||| -5.86011 +5 ||| documentation ||| Distortion_1: 0 LexicalReordering_1: -0.387116 0 0 0 0 0 LM_1: -6.58617 WordPenalty_1: -1 UnknownWordPenalty_1: 0 PhraseModel_1: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 +6 ||| report of the secretary - general ( council decision 2000 / 235 ) . (g) ||| Distortion_1: 0 LexicalReordering_1: -1.75105 0 0 -1.75669 0 0 LM_1: -40.9287 WordPenalty_1: -15 UnknownWordPenalty_1: 0 PhraseModel_1: -0.0621318 -5.24708 -0.0971644 -5.02861 4.99948 ||| -7.13874 +7 ||| malaria and diarreicas diseases , in particular cholera ||| Distortion_1: -4 LexicalReordering_1: -0.313572 -0.762139 -0.510826 0 0 -1.71374 LM_1: -43.2929 WordPenalty_1: -8 UnknownWordPenalty_1: -200 PhraseModel_1: -0.542827 -3.17519 -0.665745 -3.32462 2.99969 ||| -205.872 +8 ||| documentation ||| Distortion_1: 0 LexicalReordering_1: -0.387116 0 0 0 0 0 LM_1: -6.58617 WordPenalty_1: -1 UnknownWordPenalty_1: 0 PhraseModel_1: -0.120628 -0.0240981 -0.0500109 -0.0240981 0.999896 ||| -0.791854 +9 ||| note by the secretary - general transmitting the report of the director general of the world health organization ( council resolution 1998 / 36 ) ||| Distortion_1: -12 LexicalReordering_1: -7.97295 0 -2.56589 -3.58023 0 -5.27332 LM_1: -71.3034 WordPenalty_1: -25 UnknownWordPenalty_1: 0 PhraseModel_1: -11.6595 -24.7038 -1.66432 -12.3694 11.9988 ||| -15.642 diff --git a/tests/phrase.compresspt/truth/results.txt b/tests/phrase.compresspt/truth/results.txt index de53f15..a4c6361 100644 --- a/tests/phrase.compresspt/truth/results.txt +++ b/tests/phrase.compresspt/truth/results.txt @@ -1,11 +1,11 @@ TRANSLATION_0=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . -LMLOAD_TIME ~ 0.037 -PTLOAD_TIME ~ 0.037 -PTLOAD_TIME ~ 0.038 +LMLOAD_TIME ~ 0.141 +PTLOAD_TIME ~ 0.142 +PTLOAD_TIME ~ 0.147 SCORE_0 = -549.862 -TRANSLATION_0_NBEST_1=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -112.888 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -549.862 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_2=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -112.888 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -6.00156 -2.17433 -1.82688 -6.17638 3.99959 ||| -549.88 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_3=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -116.003 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -1.37305 -2.17433 -1.73026 -2.3922 2.99969 ||| -549.936 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_4=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -116.003 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -2.36397 -2.17433 -1.82688 -2.3922 3.99959 ||| -549.953 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_5=beide Versäumnisse , terroristische Gruppen in Pakistan . gestärkt ||| Distortion: -3 LM: -110.706 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -550.572 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 8=7 7=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 8-7 7-8 +TRANSLATION_0_NBEST_1=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -112.888 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -549.862 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_2=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -112.888 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -6.00156 -2.17433 -1.82688 -6.17638 3.99959 ||| -549.88 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_3=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -116.003 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -1.37305 -2.17433 -1.73026 -2.3922 2.99969 ||| -549.936 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_4=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -116.003 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -2.36397 -2.17433 -1.82688 -2.3922 3.99959 ||| -549.953 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_5=beide Versäumnisse , terroristische Gruppen in Pakistan . gestärkt ||| Distortion_1: -3 LM_1: -110.706 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -550.572 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 8=7 7=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 8-7 7-8 TOTAL_WALLTIME ~ 0 diff --git a/tests/phrase.lattice-distortion/truth/results.txt b/tests/phrase.lattice-distortion/truth/results.txt index e2a6032..a58c155 100644 --- a/tests/phrase.lattice-distortion/truth/results.txt +++ b/tests/phrase.lattice-distortion/truth/results.txt @@ -5,8 +5,8 @@ TRANSLATION_4=A B C ||| 1 2 3 TRANSLATION_5=C D E X ||| 1234 3 4 5 TRANSLATION_6=A ||| 1 TRANSLATION_7=' ||| ' -LMLOAD_TIME ~ 0.002 -PTLOAD_TIME ~ 0.002 +LMLOAD_TIME ~ 0.008 +PTLOAD_TIME ~ 0.008 SCORE_1 = 1.090 SCORE_2 = 2.004 SCORE_3 = 2.004 @@ -14,40 +14,40 @@ SCORE_4 = 2.004 SCORE_5 = -0.233 SCORE_6 = -1.851 SCORE_7 = -196.549 -TRANSLATION_0_NBEST_1=1 2 ||| Distortion: 0 LM: -4.30484 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_0_NBEST_2=2 1 ||| Distortion: -3 LM: -9.70915 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_1_NBEST_1=1 2 3 ||| Distortion: 0 LM: -6.08823 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_1_NBEST_2=12 3 ||| Distortion: 0 LM: -7.98575 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_1_NBEST_3=2 3 1 ||| Distortion: -3 LM: -9.26988 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_1_NBEST_4=1 3 2 ||| Distortion: -3 LM: -10.7767 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_1_NBEST_5=3 1 2 ||| Distortion: -3 LM: -10.9714 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_1_NBEST_6=3 12 ||| Distortion: -3 LM: -10.0318 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_1_NBEST_7=3 2 1 ||| Distortion: -4 LM: -12.57 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_1_NBEST_8=2 1 3 ||| Distortion: -3 LM: -13.645 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_1=1 2 3 ||| Distortion: 0 LM: -6.08823 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_2=2 3 1 ||| Distortion: -3 LM: -9.26988 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_3=1 3 2 ||| Distortion: -3 LM: -10.7767 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_4=3 1 2 ||| Distortion: -3 LM: -10.9714 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_5=3 2 1 ||| Distortion: -4 LM: -12.57 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_2_NBEST_6=2 1 3 ||| Distortion: -3 LM: -13.645 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_1=1 2 3 ||| Distortion: 0 LM: -6.08823 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_2=1 12 ||| Distortion: 0 LM: -9.28642 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_3_NBEST_3=2 3 1 ||| Distortion: -3 LM: -9.26988 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_4=1 3 2 ||| Distortion: -2 LM: -10.7767 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_5=12 1 ||| Distortion: -3 LM: -8.59503 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_3_NBEST_6=3 1 2 ||| Distortion: -4 LM: -10.9714 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_7=3 2 1 ||| Distortion: -5 LM: -12.57 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_3_NBEST_8=2 1 3 ||| Distortion: -4 LM: -13.645 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_1=1234 3 4 5 ||| Distortion: -3 LM: -8.02249 WordPenalty: -4 UnknownWordPenalty: 0 PhraseModel: 0 -9.21034 -9.21034 -TRANSLATION_4_NBEST_2=4 1234 5 ||| Distortion: -3 LM: -7.07413 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_3=3 4 5 1234 ||| Distortion: 0 LM: -12.8014 WordPenalty: -4 UnknownWordPenalty: 0 PhraseModel: 0 -9.21034 -9.21034 -TRANSLATION_4_NBEST_4=2 3 1234 ||| Distortion: 0 LM: -10.4352 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_5=1234 4 5 ||| Distortion: -3 LM: -7.84275 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_6=1234 5 4 ||| Distortion: -4 LM: -6.99714 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_7=1 1234 ||| Distortion: 0 LM: -8.4748 WordPenalty: -2 UnknownWordPenalty: 0 PhraseModel: 0 -4.60517 -4.60517 -TRANSLATION_4_NBEST_8=5 4 1234 ||| Distortion: -3 LM: -8.17776 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_4_NBEST_9=3 4 1234 5 ||| Distortion: -3 LM: -11.6793 WordPenalty: -4 UnknownWordPenalty: 0 PhraseModel: 0 -9.21034 -9.21034 -TRANSLATION_4_NBEST_10=4 5 1234 ||| Distortion: 0 LM: -12.0545 WordPenalty: -3 UnknownWordPenalty: 0 PhraseModel: 0 -6.90776 -6.90776 -TRANSLATION_5_NBEST_1=1 ||| Distortion: 0 LM: -4.54836 WordPenalty: -1 UnknownWordPenalty: 0 PhraseModel: 0 -2.30259 -2.30259 -TRANSLATION_6_NBEST_1=' ||| Distortion: 0 LM: -101.55 WordPenalty: -1 UnknownWordPenalty: -100 PhraseModel: 0 0 0 +TRANSLATION_0_NBEST_1=1 2 ||| Distortion_1: 0 LM_1: -4.30484 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_0_NBEST_2=2 1 ||| Distortion_1: -3 LM_1: -9.70915 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_1_NBEST_1=1 2 3 ||| Distortion_1: 0 LM_1: -6.08823 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_1_NBEST_2=12 3 ||| Distortion_1: 0 LM_1: -7.98575 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_1_NBEST_3=2 3 1 ||| Distortion_1: -3 LM_1: -9.26988 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_1_NBEST_4=1 3 2 ||| Distortion_1: -3 LM_1: -10.7767 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_1_NBEST_5=3 1 2 ||| Distortion_1: -3 LM_1: -10.9714 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_1_NBEST_6=3 12 ||| Distortion_1: -3 LM_1: -10.0318 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_1_NBEST_7=3 2 1 ||| Distortion_1: -4 LM_1: -12.57 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_1_NBEST_8=2 1 3 ||| Distortion_1: -3 LM_1: -13.645 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_1=1 2 3 ||| Distortion_1: 0 LM_1: -6.08823 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_2=2 3 1 ||| Distortion_1: -3 LM_1: -9.26988 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_3=1 3 2 ||| Distortion_1: -3 LM_1: -10.7767 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_4=3 1 2 ||| Distortion_1: -3 LM_1: -10.9714 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_5=3 2 1 ||| Distortion_1: -4 LM_1: -12.57 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_2_NBEST_6=2 1 3 ||| Distortion_1: -3 LM_1: -13.645 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_1=1 2 3 ||| Distortion_1: 0 LM_1: -6.08823 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_2=1 12 ||| Distortion_1: 0 LM_1: -9.28642 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_3_NBEST_3=2 3 1 ||| Distortion_1: -3 LM_1: -9.26988 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_4=1 3 2 ||| Distortion_1: -2 LM_1: -10.7767 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_5=12 1 ||| Distortion_1: -3 LM_1: -8.59503 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_3_NBEST_6=3 1 2 ||| Distortion_1: -4 LM_1: -10.9714 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_7=3 2 1 ||| Distortion_1: -5 LM_1: -12.57 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_3_NBEST_8=2 1 3 ||| Distortion_1: -4 LM_1: -13.645 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_1=1234 3 4 5 ||| Distortion_1: -3 LM_1: -8.02249 WordPenalty_1: -4 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -9.21034 -9.21034 +TRANSLATION_4_NBEST_2=4 1234 5 ||| Distortion_1: -3 LM_1: -7.07413 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_3=3 4 5 1234 ||| Distortion_1: 0 LM_1: -12.8014 WordPenalty_1: -4 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -9.21034 -9.21034 +TRANSLATION_4_NBEST_4=2 3 1234 ||| Distortion_1: 0 LM_1: -10.4352 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_5=1234 4 5 ||| Distortion_1: -3 LM_1: -7.84275 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_6=1234 5 4 ||| Distortion_1: -4 LM_1: -6.99714 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_7=1 1234 ||| Distortion_1: 0 LM_1: -8.4748 WordPenalty_1: -2 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -4.60517 -4.60517 +TRANSLATION_4_NBEST_8=5 4 1234 ||| Distortion_1: -3 LM_1: -8.17776 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_4_NBEST_9=3 4 1234 5 ||| Distortion_1: -3 LM_1: -11.6793 WordPenalty_1: -4 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -9.21034 -9.21034 +TRANSLATION_4_NBEST_10=4 5 1234 ||| Distortion_1: 0 LM_1: -12.0545 WordPenalty_1: -3 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -6.90776 -6.90776 +TRANSLATION_5_NBEST_1=1 ||| Distortion_1: 0 LM_1: -4.54836 WordPenalty_1: -1 UnknownWordPenalty_1: 0 PhraseModel_1: 0 -2.30259 -2.30259 +TRANSLATION_6_NBEST_1=' ||| Distortion_1: 0 LM_1: -101.55 WordPenalty_1: -1 UnknownWordPenalty_1: -100 PhraseModel_1: 0 0 0 TOTAL_WALLTIME ~ 0 diff --git a/tests/phrase.nbest-multi-factor/truth/results.txt b/tests/phrase.nbest-multi-factor/truth/results.txt index d0e0747..48fb877 100644 --- a/tests/phrase.nbest-multi-factor/truth/results.txt +++ b/tests/phrase.nbest-multi-factor/truth/results.txt @@ -1,8 +1,8 @@ TRANSLATION_0=there are various different opinions . -LMLOAD_TIME ~ 3.024 -PTLOAD_TIME ~ 3.132 -PTLOAD_TIME ~ 4.125 +LMLOAD_TIME ~ 4.512 +PTLOAD_TIME ~ 4.687 +PTLOAD_TIME ~ 6.131 SCORE_0 = -113.734 -TRANSLATION_0_NBEST_1=there are various different opinions . ||| Distortion: 0 LM: -21.6664 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.46226 -10.822 -2.82666 -9.32004 2.99969 Generation: -0.0625204 -18.098 PhraseModel:2: -2.44147 -4.91188 -6.12017 -10.5033 2.99969 -TRANSLATION_0_NBEST_2=there are various other opinions . ||| Distortion: 0 LM: -25.3276 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.94591 -10.3833 -0.693147 -7.77959 1.99979 Generation: -0.149241 -16.9924 PhraseModel:2: -0.924822 -4.91188 -3.33314 -10.5033 1.99979 -TOTAL_WALLTIME ~ 5 +TRANSLATION_0_NBEST_1=there are various different opinions . ||| Distortion_1: 0 LM_1: -21.6664 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.46226 -10.822 -2.82666 -9.32004 2.99969 Generation_1: -0.0625204 -18.098 PhraseModel_2: -2.44147 -4.91188 -6.12017 -10.5033 2.99969 +TRANSLATION_0_NBEST_2=there are various other opinions . ||| Distortion_1: 0 LM_1: -25.3276 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.94591 -10.3833 -0.693147 -7.77959 1.99979 Generation_1: -0.149241 -16.9924 PhraseModel_2: -0.924822 -4.91188 -3.33314 -10.5033 1.99979 +TOTAL_WALLTIME ~ 7 diff --git a/tests/phrase.nbest-with-alignment/truth/results.txt b/tests/phrase.nbest-with-alignment/truth/results.txt index 41ea631..99de54e 100644 --- a/tests/phrase.nbest-with-alignment/truth/results.txt +++ b/tests/phrase.nbest-with-alignment/truth/results.txt @@ -1,11 +1,11 @@ TRANSLATION_0=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . -LMLOAD_TIME ~ 0.036 -PTLOAD_TIME ~ 0.036 -PTLOAD_TIME ~ 0.081 +LMLOAD_TIME ~ 0.095 +PTLOAD_TIME ~ 0.095 +PTLOAD_TIME ~ 0.180 SCORE_0 = -549.862 -TRANSLATION_0_NBEST_1=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -112.888 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -549.862 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_2=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -112.888 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -6.00156 -2.17433 -1.82688 -6.17638 3.99959 ||| -549.88 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_3=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -116.003 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -1.37305 -2.17433 -1.73026 -2.3922 2.99969 ||| -549.936 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_4=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion: 0 LM: -116.003 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -2.36397 -2.17433 -1.82688 -2.3922 3.99959 ||| -549.953 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 -TRANSLATION_0_NBEST_5=beide Versäumnisse , terroristische Gruppen in Pakistan . gestärkt ||| Distortion: -3 LM: -110.706 WordPenalty: -9 UnknownWordPenalty: -500 PhraseModel: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -550.572 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 8=7 7=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 8-7 7-8 +TRANSLATION_0_NBEST_1=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -112.888 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -549.862 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_2=beide Versäumnisse , terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -112.888 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -6.00156 -2.17433 -1.82688 -6.17638 3.99959 ||| -549.88 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_3=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -116.003 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -1.37305 -2.17433 -1.73026 -2.3922 2.99969 ||| -549.936 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_4=beide Versäumnisse made terroristische Gruppen in Pakistan gestärkt . ||| Distortion_1: 0 LM_1: -116.003 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -2.36397 -2.17433 -1.82688 -2.3922 3.99959 ||| -549.953 ||| 0=0 1=1 2=2 3=3 4=4 5=5 6=6 7=7 8=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 7-7 8-8 +TRANSLATION_0_NBEST_5=beide Versäumnisse , terroristische Gruppen in Pakistan . gestärkt ||| Distortion_1: -3 LM_1: -110.706 WordPenalty_1: -9 UnknownWordPenalty_1: -500 PhraseModel_1: -5.01064 -2.17433 -1.73026 -6.17638 2.99969 ||| -550.572 ||| 0=0 1=1 2=2 3=3 4=4 5-6=5-6 8=7 7=8 ||| 0-0 1-1 2-2 3-3 4-4 5-5 6-6 8-7 7-8 TOTAL_WALLTIME ~ 0 diff --git a/tests/phrase.show-weights.lex-reorder/truth/results.txt b/tests/phrase.show-weights.lex-reorder/truth/results.txt index 5b1feff..1c06189 100644 --- a/tests/phrase.show-weights.lex-reorder/truth/results.txt +++ b/tests/phrase.show-weights.lex-reorder/truth/results.txt @@ -1,16 +1,16 @@ -WEIGHT_1=Distortion 0.500000 -WEIGHT_2=LexicalReordering 0.300000 -WEIGHT_3=LexicalReordering 0.300000 -WEIGHT_4=LexicalReordering 0.300000 -WEIGHT_5=LexicalReordering 0.300000 -WEIGHT_6=LexicalReordering 0.300000 -WEIGHT_7=LexicalReordering 0.300000 -WEIGHT_8=LM 0.500000 -WEIGHT_9=WordPenalty -1.000000 -WEIGHT_10=UnknownWordPenalty 1.000000 -WEIGHT_11=PhraseModel 0.200000 -WEIGHT_12=PhraseModel 0.200000 -WEIGHT_13=PhraseModel 0.200000 -WEIGHT_14=PhraseModel 0.200000 -WEIGHT_15=PhraseModel 0.200000 +WEIGHT_1=Distortion_1 0.500000 +WEIGHT_2=LexicalReordering_1 0.300000 +WEIGHT_3=LexicalReordering_1 0.300000 +WEIGHT_4=LexicalReordering_1 0.300000 +WEIGHT_5=LexicalReordering_1 0.300000 +WEIGHT_6=LexicalReordering_1 0.300000 +WEIGHT_7=LexicalReordering_1 0.300000 +WEIGHT_8=LM_1 0.500000 +WEIGHT_9=WordPenalty_1 -1.000000 +WEIGHT_10=UnknownWordPenalty_1 1.000000 +WEIGHT_11=PhraseModel_1 0.200000 +WEIGHT_12=PhraseModel_1 0.200000 +WEIGHT_13=PhraseModel_1 0.200000 +WEIGHT_14=PhraseModel_1 0.200000 +WEIGHT_15=PhraseModel_1 0.200000 TOTAL_WALLTIME ~ 1 diff --git a/tests/phrase.show-weights/truth/results.txt b/tests/phrase.show-weights/truth/results.txt index b0c3b9f..27d599a 100644 --- a/tests/phrase.show-weights/truth/results.txt +++ b/tests/phrase.show-weights/truth/results.txt @@ -1,10 +1,10 @@ -WEIGHT_1=Distortion 0.141807 -WEIGHT_2=LM 0.142659 -WEIGHT_3=WordPenalty -0.273416 -WEIGHT_4=UnknownWordPenalty 1.000000 -WEIGHT_5=PhraseModel 0.004024 -WEIGHT_6=PhraseModel 0.068565 -WEIGHT_7=PhraseModel 0.294089 -WEIGHT_8=PhraseModel 0.032832 -WEIGHT_9=PhraseModel -0.042608 -TOTAL_WALLTIME ~ 3 +WEIGHT_1=Distortion_1 0.141807 +WEIGHT_2=LM_1 0.142659 +WEIGHT_3=WordPenalty_1 -0.273416 +WEIGHT_4=UnknownWordPenalty_1 1.000000 +WEIGHT_5=PhraseModel_1 0.004024 +WEIGHT_6=PhraseModel_1 0.068565 +WEIGHT_7=PhraseModel_1 0.294089 +WEIGHT_8=PhraseModel_1 0.032832 +WEIGHT_9=PhraseModel_1 -0.042608 +TOTAL_WALLTIME ~ 5 diff --git a/tests/phrase.xml-markup/truth/results.txt b/tests/phrase.xml-markup/truth/results.txt index 96ab661..25142ee 100644 --- a/tests/phrase.xml-markup/truth/results.txt +++ b/tests/phrase.xml-markup/truth/results.txt @@ -4,72 +4,72 @@ TRANSLATION_2=this is a little building . TRANSLATION_3=this is a small house . TRANSLATION_4=this is a small house . TRANSLATION_5=this is a nice place . -LMLOAD_TIME ~ 2.941 -PTLOAD_TIME ~ 2.945 +LMLOAD_TIME ~ 4.879 +PTLOAD_TIME ~ 4.883 SCORE_0 = -94.029 SCORE_1 = -94.029 SCORE_2 = -92.554 SCORE_3 = -94.029 SCORE_4 = -94.029 SCORE_5 = -93.875 -TRANSLATION_0_NBEST_1=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_0_NBEST_2=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_0_NBEST_3=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_0_NBEST_4=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_0_NBEST_5=this is a little dwelling . ||| Distortion: 0 LM: -31.093 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.05573 -TRANSLATION_0_NBEST_6=this is an small house . ||| Distortion: 0 LM: -31.6579 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_0_NBEST_7=this is a small dwelling . ||| Distortion: 0 LM: -31.5834 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.05573 -TRANSLATION_0_NBEST_8=it is a little dwelling . ||| Distortion: 0 LM: -31.1384 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.44202 -TRANSLATION_0_NBEST_9=this is a house small . ||| Distortion: -4 LM: -29.1723 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_0_NBEST_10=it is a small dwelling . ||| Distortion: 0 LM: -31.6288 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.44202 -TRANSLATION_1_NBEST_1=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_1_NBEST_2=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_1_NBEST_3=this is a little building . ||| Distortion: 0 LM: -25.3263 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.74887 -TRANSLATION_1_NBEST_4=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_1_NBEST_5=this is a small building . ||| Distortion: 0 LM: -25.8167 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.74887 -TRANSLATION_1_NBEST_6=it is a little building . ||| Distortion: 0 LM: -25.3718 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -4.13517 -TRANSLATION_1_NBEST_7=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_1_NBEST_8=it is a small building . ||| Distortion: 0 LM: -25.8622 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -4.13517 -TRANSLATION_1_NBEST_9=this is a little dwelling . ||| Distortion: 0 LM: -31.093 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.34341 -TRANSLATION_1_NBEST_10=this is an small house . ||| Distortion: 0 LM: -31.6579 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_2_NBEST_1=this is a little building . ||| Distortion: 0 LM: -25.3263 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 2.77259 -TRANSLATION_2_NBEST_2=this is a small building . ||| Distortion: 0 LM: -25.8167 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 2.77259 -TRANSLATION_2_NBEST_3=it is a little building . ||| Distortion: 0 LM: -25.3718 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 1.38629 -TRANSLATION_2_NBEST_4=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_2_NBEST_5=it is a small building . ||| Distortion: 0 LM: -25.8622 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 1.38629 -TRANSLATION_2_NBEST_6=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_2_NBEST_7=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_2_NBEST_8=this is an small building . ||| Distortion: 0 LM: -32.235 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 2.77259 -TRANSLATION_2_NBEST_9=this is an little building . ||| Distortion: 0 LM: -32.3167 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 2.77259 -TRANSLATION_2_NBEST_10=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_3_NBEST_1=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_3_NBEST_2=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_3_NBEST_3=this is a little building . ||| Distortion: 0 LM: -25.3263 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.74887 -TRANSLATION_3_NBEST_4=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_3_NBEST_5=this is a small building . ||| Distortion: 0 LM: -25.8167 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -2.74887 -TRANSLATION_3_NBEST_6=it is a little building . ||| Distortion: 0 LM: -25.3718 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -4.13517 -TRANSLATION_3_NBEST_7=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_3_NBEST_8=it is a small building . ||| Distortion: 0 LM: -25.8622 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -4.13517 -TRANSLATION_3_NBEST_9=this is a little dwelling . ||| Distortion: 0 LM: -31.093 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_3_NBEST_10=this is a small dwelling . ||| Distortion: 0 LM: -31.5834 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_4_NBEST_1=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_4_NBEST_2=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_4_NBEST_3=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_4_NBEST_4=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_4_NBEST_5=this is a little dwelling . ||| Distortion: 0 LM: -31.093 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_4_NBEST_6=this is a small dwelling . ||| Distortion: 0 LM: -31.5834 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_4_NBEST_7=it is a little dwelling . ||| Distortion: 0 LM: -31.1384 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -0.858022 -TRANSLATION_4_NBEST_8=it is a small dwelling . ||| Distortion: 0 LM: -31.6288 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -0.858022 -TRANSLATION_4_NBEST_9=this is an small house . ||| Distortion: 0 LM: -31.6579 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_4_NBEST_10=this is a house small . ||| Distortion: -4 LM: -29.1723 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_5_NBEST_1=this is a nice place . ||| Distortion: 0 LM: -25.0386 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 1.16315 -TRANSLATION_5_NBEST_2=this is a small house . ||| Distortion: 0 LM: -22.1968 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_5_NBEST_3=it is a nice place . ||| Distortion: 0 LM: -25.084 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -0.223144 -TRANSLATION_5_NBEST_4=it is a small house . ||| Distortion: 0 LM: -22.2422 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_5_NBEST_5=this is a little house . ||| Distortion: 0 LM: -26.517 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -1.83258 -TRANSLATION_5_NBEST_6=it is a little house . ||| Distortion: 0 LM: -26.5625 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -3.21888 -TRANSLATION_5_NBEST_7=this is an nice place . ||| Distortion: 0 LM: -31.5425 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 1.16315 -TRANSLATION_5_NBEST_8=this is a little dwelling . ||| Distortion: 0 LM: -31.093 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_5_NBEST_9=this is a small dwelling . ||| Distortion: 0 LM: -31.5834 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: 0.528273 -TRANSLATION_5_NBEST_10=it is a little dwelling . ||| Distortion: 0 LM: -31.1384 WordPenalty: -6 UnknownWordPenalty: -100 PhraseModel: -0.858022 -TOTAL_WALLTIME ~ 3 +TRANSLATION_0_NBEST_1=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_0_NBEST_2=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_0_NBEST_3=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_0_NBEST_4=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_0_NBEST_5=this is a little dwelling . ||| Distortion_1: 0 LM_1: -31.093 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.05573 +TRANSLATION_0_NBEST_6=this is an small house . ||| Distortion_1: 0 LM_1: -31.6579 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_0_NBEST_7=this is a small dwelling . ||| Distortion_1: 0 LM_1: -31.5834 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.05573 +TRANSLATION_0_NBEST_8=it is a little dwelling . ||| Distortion_1: 0 LM_1: -31.1384 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.44202 +TRANSLATION_0_NBEST_9=this is a house small . ||| Distortion_1: -4 LM_1: -29.1723 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_0_NBEST_10=it is a small dwelling . ||| Distortion_1: 0 LM_1: -31.6288 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.44202 +TRANSLATION_1_NBEST_1=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_1_NBEST_2=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_1_NBEST_3=this is a little building . ||| Distortion_1: 0 LM_1: -25.3263 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.74887 +TRANSLATION_1_NBEST_4=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_1_NBEST_5=this is a small building . ||| Distortion_1: 0 LM_1: -25.8167 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.74887 +TRANSLATION_1_NBEST_6=it is a little building . ||| Distortion_1: 0 LM_1: -25.3718 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -4.13517 +TRANSLATION_1_NBEST_7=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_1_NBEST_8=it is a small building . ||| Distortion_1: 0 LM_1: -25.8622 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -4.13517 +TRANSLATION_1_NBEST_9=this is a little dwelling . ||| Distortion_1: 0 LM_1: -31.093 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.34341 +TRANSLATION_1_NBEST_10=this is an small house . ||| Distortion_1: 0 LM_1: -31.6579 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_2_NBEST_1=this is a little building . ||| Distortion_1: 0 LM_1: -25.3263 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 2.77259 +TRANSLATION_2_NBEST_2=this is a small building . ||| Distortion_1: 0 LM_1: -25.8167 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 2.77259 +TRANSLATION_2_NBEST_3=it is a little building . ||| Distortion_1: 0 LM_1: -25.3718 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 1.38629 +TRANSLATION_2_NBEST_4=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_2_NBEST_5=it is a small building . ||| Distortion_1: 0 LM_1: -25.8622 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 1.38629 +TRANSLATION_2_NBEST_6=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_2_NBEST_7=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_2_NBEST_8=this is an small building . ||| Distortion_1: 0 LM_1: -32.235 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 2.77259 +TRANSLATION_2_NBEST_9=this is an little building . ||| Distortion_1: 0 LM_1: -32.3167 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 2.77259 +TRANSLATION_2_NBEST_10=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_3_NBEST_1=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_3_NBEST_2=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_3_NBEST_3=this is a little building . ||| Distortion_1: 0 LM_1: -25.3263 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.74887 +TRANSLATION_3_NBEST_4=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_3_NBEST_5=this is a small building . ||| Distortion_1: 0 LM_1: -25.8167 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -2.74887 +TRANSLATION_3_NBEST_6=it is a little building . ||| Distortion_1: 0 LM_1: -25.3718 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -4.13517 +TRANSLATION_3_NBEST_7=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_3_NBEST_8=it is a small building . ||| Distortion_1: 0 LM_1: -25.8622 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -4.13517 +TRANSLATION_3_NBEST_9=this is a little dwelling . ||| Distortion_1: 0 LM_1: -31.093 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_3_NBEST_10=this is a small dwelling . ||| Distortion_1: 0 LM_1: -31.5834 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_4_NBEST_1=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_4_NBEST_2=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_4_NBEST_3=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_4_NBEST_4=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_4_NBEST_5=this is a little dwelling . ||| Distortion_1: 0 LM_1: -31.093 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_4_NBEST_6=this is a small dwelling . ||| Distortion_1: 0 LM_1: -31.5834 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_4_NBEST_7=it is a little dwelling . ||| Distortion_1: 0 LM_1: -31.1384 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -0.858022 +TRANSLATION_4_NBEST_8=it is a small dwelling . ||| Distortion_1: 0 LM_1: -31.6288 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -0.858022 +TRANSLATION_4_NBEST_9=this is an small house . ||| Distortion_1: 0 LM_1: -31.6579 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_4_NBEST_10=this is a house small . ||| Distortion_1: -4 LM_1: -29.1723 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_5_NBEST_1=this is a nice place . ||| Distortion_1: 0 LM_1: -25.0386 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 1.16315 +TRANSLATION_5_NBEST_2=this is a small house . ||| Distortion_1: 0 LM_1: -22.1968 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_5_NBEST_3=it is a nice place . ||| Distortion_1: 0 LM_1: -25.084 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -0.223144 +TRANSLATION_5_NBEST_4=it is a small house . ||| Distortion_1: 0 LM_1: -22.2422 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_5_NBEST_5=this is a little house . ||| Distortion_1: 0 LM_1: -26.517 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -1.83258 +TRANSLATION_5_NBEST_6=it is a little house . ||| Distortion_1: 0 LM_1: -26.5625 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -3.21888 +TRANSLATION_5_NBEST_7=this is an nice place . ||| Distortion_1: 0 LM_1: -31.5425 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 1.16315 +TRANSLATION_5_NBEST_8=this is a little dwelling . ||| Distortion_1: 0 LM_1: -31.093 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_5_NBEST_9=this is a small dwelling . ||| Distortion_1: 0 LM_1: -31.5834 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: 0.528273 +TRANSLATION_5_NBEST_10=it is a little dwelling . ||| Distortion_1: 0 LM_1: -31.1384 WordPenalty_1: -6 UnknownWordPenalty_1: -100 PhraseModel_1: -0.858022 +TOTAL_WALLTIME ~ 5 |