de-francophones
commited on
Commit
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7542d92
1
Parent(s):
f43f770
ccd46a25ab3c2c4c0885ffc19a6c6d6cd41c041124429067422ac459ae3ae2d6
Browse files- mt_queries/1000_best_list/pl/clef2014.test.26 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.27 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.28 +0 -0
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- mt_queries/1000_best_list/pl/clef2014.test.38 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.39 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.4 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.40 +0 -0
- mt_queries/1000_best_list/pl/clef2014.test.41 +0 -0
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- mt_queries/1000_best_list/pl/clef2014.test.44 +0 -0
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- mt_queries/1000_best_list/pl/clef2014.test.46 +0 -0
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- mt_queries/1000_best_list/pl/clef2014.test.48 +0 -0
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- mt_queries/1000_best_list/pl/clef2014.test.9 +0 -0
- mt_queries/1000_best_list/pl/clef2015.test.1 +0 -0
- mt_queries/1000_best_list/pl/clef2015.test.10 +0 -0
- mt_queries/1000_best_list/pl/clef2015.test.11 +0 -0
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- mt_queries/1000_best_list/pl/clef2015.test.24 +0 -0
- mt_queries/1000_best_list/pl/clef2015.test.25 +0 -0
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mt_queries/1000_best_list/pl/clef2015.test.1
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54 |
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55 |
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0 ||| scaly Exanthema ||| Distortion0= -3 LM0= -33.2921 TranslationModel0= -3.03941 -3.19822 -6.71633 -5.83411 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.68658
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56 |
+
0 ||| and scaly ||| Distortion0= 0 LM0= -24.5158 TranslationModel0= -13.8099 -12.6342 -7.00402 -5.65176 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.71088
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57 |
+
0 ||| enzymes scaly ||| Distortion0= 0 LM0= -30.6442 TranslationModel0= -7.81745 -7.7928 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.7145
|
58 |
+
0 ||| scaly The rash ||| Distortion0= -3 LM0= -36.6469 TranslationModel0= -2.30704 -2.73039 -5.33004 -6.38951 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.73707
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59 |
+
0 ||| scaly rash and ||| Distortion0= -3 LM0= -35.339 TranslationModel0= -4.22305 -2.73039 -5.53768 -5.88118 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.74465
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60 |
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0 ||| scaly the rash ||| Distortion0= -3 LM0= -34.5142 TranslationModel0= -4.71338 -2.73039 -7.00402 -4.41555 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.74716
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61 |
+
0 ||| a rash , scaly ||| Distortion0= 0 LM0= -37.8837 TranslationModel0= -4.75112 -2.73039 -7.40948 -7.96912 PhrasePenalty0= 2 WordPenalty0= -4 ||| -6.75967
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62 |
+
0 ||| scaly rash / ||| Distortion0= -3 LM0= -34.7965 TranslationModel0= -3.53473 -2.73039 -7.00402 -6.79057 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.77005
|
63 |
+
0 ||| chest scaly ||| Distortion0= 0 LM0= -30.2971 TranslationModel0= -8.44046 -8.91415 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.80273
|
64 |
+
0 ||| scaly • rash ||| Distortion0= -3 LM0= -33.9734 TranslationModel0= -4.16333 -2.73039 -7.00402 -9.38415 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.83217
|
65 |
+
0 ||| scaly like rash ||| Distortion0= -3 LM0= -36.2403 TranslationModel0= -3.06472 -2.73039 -5.9054 -7.53674 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.8642
|
66 |
+
0 ||| scaly simmer ||| Distortion0= -3 LM0= -33.8107 TranslationModel0= -3.58352 -4.6846 -6.49319 -6.52723 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.92918
|
67 |
+
0 ||| blood scaly ||| Distortion0= 0 LM0= -28.9221 TranslationModel0= -10.5122 -10.7515 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -6.94003
|
68 |
+
0 ||| scaly rash was ||| Distortion0= -3 LM0= -36.3219 TranslationModel0= -2.95936 -2.73039 -7.00402 -7.34949 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.96066
|
69 |
+
0 ||| are rash scaly ||| Distortion0= 0 LM0= -38.8104 TranslationModel0= -3.80666 -2.73039 -7.40948 -6.75421 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.97505
|
70 |
+
0 ||| scaly are rash ||| Distortion0= -3 LM0= -35.807 TranslationModel0= -3.80666 -2.73039 -7.40948 -6.75421 PhrasePenalty0= 2 WordPenalty0= -3 ||| -6.98644
|
71 |
+
0 ||| swimmer ' s scaly ||| Distortion0= 0 LM0= -37.1865 TranslationModel0= -2.87235 -6.03759 -6.71633 -17.2833 PhrasePenalty0= 2 WordPenalty0= -4 ||| -7.02498
|
72 |
+
0 ||| scaly a rash , ||| Distortion0= -3 LM0= -36.6445 TranslationModel0= -4.75112 -2.73039 -7.40948 -7.96912 PhrasePenalty0= 2 WordPenalty0= -4 ||| -7.03372
|
73 |
+
0 ||| simmer ' scaly ||| Distortion0= 0 LM0= -39.2581 TranslationModel0= -1.86075 -4.6846 -7.00402 -9.31392 PhrasePenalty0= 2 WordPenalty0= -3 ||| -7.03747
|
74 |
+
0 ||| scaly clinical ||| Distortion0= -3 LM0= -30.3262 TranslationModel0= -8.2834 -8.73176 -5.70473 -5.65176 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.06412
|
75 |
+
0 ||| scaly Furthermore ||| Distortion0= -3 LM0= -33.0582 TranslationModel0= -6.6041 -6.47453 -5.70473 -5.57173 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.13999
|
76 |
+
0 ||| simmer ' s scaly ||| Distortion0= 0 LM0= -40.399 TranslationModel0= -1.86075 -4.6846 -7.00402 -13.1765 PhrasePenalty0= 2 WordPenalty0= -4 ||| -7.14822
|
77 |
+
0 ||| scaly Skin ||| Distortion0= -3 LM0= -29.8723 TranslationModel0= -8.44761 -7.96803 -7.40948 -6.19076 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.15027
|
78 |
+
0 ||| scaly enzymes ||| Distortion0= -3 LM0= -30.4935 TranslationModel0= -7.81745 -7.7928 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.15061
|
79 |
+
0 ||| swimmer ' scaly ||| Distortion0= 0 LM0= -37.7281 TranslationModel0= -3.03941 -6.03759 -6.71633 -13.4207 PhrasePenalty0= 2 WordPenalty0= -3 ||| -7.18264
|
80 |
+
0 ||| scaly chest ||| Distortion0= -3 LM0= -29.9122 TranslationModel0= -8.44046 -8.91415 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.20397
|
81 |
+
0 ||| scaly and ||| Distortion0= -3 LM0= -24.7489 TranslationModel0= -13.8099 -12.6342 -7.00402 -5.65176 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.20411
|
82 |
+
0 ||| scaly simmer ' ||| Distortion0= -3 LM0= -38.3791 TranslationModel0= -1.86075 -4.6846 -7.00402 -9.31392 PhrasePenalty0= 2 WordPenalty0= -3 ||| -7.36514
|
83 |
+
0 ||| scaly swimmer ' s ||| Distortion0= -3 LM0= -36.4081 TranslationModel0= -2.87235 -6.03759 -6.71633 -17.2833 PhrasePenalty0= 2 WordPenalty0= -4 ||| -7.36763
|
84 |
+
0 ||| scaly blood ||| Distortion0= -3 LM0= -28.7515 TranslationModel0= -10.5122 -10.7515 -7.00402 -6.7504 PhrasePenalty0= 2 WordPenalty0= -2 ||| -7.37315
|
85 |
+
0 ||| scaly Rash was ||| Distortion0= -3 LM0= -39.1724 TranslationModel0= -2.67168 -2.73091 -6.71633 -9.17254 PhrasePenalty0= 2 WordPenalty0= -3 ||| -7.40933
|
86 |
+
0 ||| scaly simmer ' s ||| Distortion0= -3 LM0= -39.6206 TranslationModel0= -1.86075 -4.6846 -7.00402 -13.1765 PhrasePenalty0= 2 WordPenalty0= -4 ||| -7.49087
|
87 |
+
0 ||| scaly swimmer ' ||| Distortion0= -3 LM0= -36.8491 TranslationModel0= -3.03941 -6.03759 -6.71633 -13.4207 PhrasePenalty0= 2 WordPenalty0= -3 ||| -7.51031
|
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