I got this error from giza during training, has anybody seen this  
particular and does it have any impact on the trained model ?

WARNING: Model2 viterbi alignment has zero score.
Here are the different elements that made this alignment probability  
zero
Source length 21 target length 48

Giza was run with the following arguments:

GIZA++  -CoocurrenceFile ./giza.no-en/no-en.cooc -c ./corpus/no-en-int- 
train.snt -m1 5 -m2 0 -m3 3 -m4 3 -model1dumpfrequency 1 - 
model4smoothfactor 0.4 -nodumps 1 -nsmooth 4 -o ./giza.no-en/no-en - 
onlyaldumps 1 -p0 0.999 -s ./corpus/en.vcb -t ./corpus/no.vcb

(The cooccurence file parameter is ignored)

The full error message is replicated below.


Regards

-andré lynum

WARNING: Model2 viterbi alignment has zero score.
Here are the different elements that made this alignment probability  
zero
Source length 21 target length 48
best: fs[1] 1  : es[12] 12 ,  a: 0.00583929 t: 0.176969 score  
0.00103337  product : 0.00103337 ss 0
best: fs[2] 2  : es[11] 11 ,  a: 0.0106924 t: 0.0164733 score  
0.000176139  product : 1.82017e-07 ss 0
best: fs[3] 3  : es[11] 11 ,  a: 0.0135932 t: 0.0166815 score  
0.000226755  product : 4.12731e-11 ss 0
best: fs[4] 4  : es[11] 11 ,  a: 0.0164015 t: 0.0166816 score  
0.000273602  product : 1.12924e-14 ss 0
best: fs[5] 5  : es[11] 11 ,  a: 0.0191839 t: 0.0166816 score  
0.000320017  product : 3.61377e-18 ss 0
best: fs[6] 6  : es[11] 11 ,  a: 0.0215138 t: 0.0166816 score  
0.000358883  product : 1.29692e-21 ss 0
best: fs[7] 7  : es[11] 11 ,  a: 0.0351183 t: 0.0166816 score  
0.000585828  product : 7.59774e-25 ss 0
best: fs[8] 8  : es[11] 11 ,  a: 0.0561501 t: 0.0166816 score  
0.000936671  product : 7.11659e-28 ss 0
best: fs[9] 9  : es[11] 11 ,  a: 0.09358 t: 0.0166816 score  
0.00156106  product : 1.11094e-30 ss 0
best: fs[10] 10  : es[11] 11 ,  a: 0.115205 t: 0.0166816 score  
0.0019218  product : 2.13501e-33 ss 0
best: fs[11] 11  : es[11] 11 ,  a: 0.112011 t: 0.0166816 score  
0.00186851  product : 3.9893e-36 ss 0
best: fs[12] 12  : es[11] 11 ,  a: 0.0817241 t: 0.0166816 score  
0.00136329  product : 5.43855e-39 ss 0
best: fs[13] 13  : es[11] 11 ,  a: 0.0586094 t: 0.0166816 score  
0.000977696  product : 5.31725e-42 ss 0
best: fs[14] 14  : es[11] 11 ,  a: 0.037411 t: 0.0333635 score  
0.00124816  product : 6.63679e-45 ss 0
best: fs[15] 15  : es[11] 11 ,  a: 0.0231641 t: 0.0166816 score  
0.000386413  product : 2.56454e-48 ss 0
best: fs[16] 16  : es[11] 11 ,  a: 0.0198897 t: 0.0166816 score  
0.000331792  product : 8.50894e-52 ss 0
best: fs[17] 17  : es[11] 11 ,  a: 0.0166833 t: 0.0667274 score  
0.00111324  product : 9.47247e-55 ss 0
best: fs[18] 18  : es[11] 11 ,  a: 0.0214717 t: 0.0166816 score  
0.000358181  product : 3.39286e-58 ss 0
best: fs[19] 19  : es[11] 11 ,  a: 0.0183113 t: 0.0166816 score  
0.000305461  product : 1.03638e-61 ss 0
best: fs[20] 20  : es[11] 11 ,  a: 0.0129731 t: 0.0166816 score  
0.000216412  product : 2.24286e-65 ss 0
best: fs[21] 21  : es[11] 11 ,  a: 0.0151574 t: 0.0166816 score  
0.000252848  product : 5.67104e-69 ss 0
best: fs[22] 22  : es[11] 11 ,  a: 0.015057 t: 0.0667274 score  
0.00100471  product : 5.69776e-72 ss 0
best: fs[23] 23  : es[11] 11 ,  a: 0.0180808 t: 0.0333635 score  
0.000603239  product : 3.43711e-75 ss 0
best: fs[24] 24  : es[11] 11 ,  a: 0.00806366 t: 0.0667274 score  
0.000538067  product : 1.8494e-78 ss 0
best: fs[25] 25  : es[11] 11 ,  a: 0.00913313 t: 0.0333635 score  
0.000304713  product : 5.63536e-82 ss 0
best: fs[26] 26  : es[11] 11 ,  a: 0.0102814 t: 0.0166816 score  
0.00017151  product : 9.6652e-86 ss 0
best: fs[27] 27  : es[11] 11 ,  a: 0.0204256 t: 0.0166816 score  
0.000340731  product : 3.29323e-89 ss 0
best: fs[28] 28  : es[11] 11 ,  a: 0.028064 t: 0.0500454 score  
0.00140448  product : 4.62526e-92 ss 0
best: fs[29] 29  : es[11] 11 ,  a: 0.0394085 t: 0.0166816 score  
0.000657396  product : 3.04063e-95 ss 0
best: fs[30] 30  : es[11] 11 ,  a: 0.0213687 t: 0.0166816 score  
0.000356463  product : 1.08387e-98 ss 0
best: fs[31] 31  : es[11] 11 ,  a: 0.00609263 t: 0.0333635 score  
0.000203271  product : 2.2032e-102 ss 0
best: fs[32] 32  : es[11] 11 ,  a: 0.0321807 t: 0.0166812 score  
0.000536812  product : 1.18271e-105 ss 0
best: fs[33] 33  : es[0] 0 ,  a: 0.182869 t: 0.0294718 score  
0.00538948  product : 6.37417e-108 ss 0
best: fs[34] 34  : es[11] 11 ,  a: 0.0321913 t: 0.0500454 score  
0.00161103  product : 1.0269e-110 ss 0
best: fs[35] 35  : es[11] 11 ,  a: 0.0448007 t: 0.0166816 score  
0.000747345  product : 7.67446e-114 ss 0
best: fs[36] 36  : es[11] 11 ,  a: 0.0482455 t: 0.0166816 score  
0.000804811  product : 6.17649e-117 ss 0
best: fs[37] 37  : es[11] 11 ,  a: 0.0173111 t: 0.0166816 score  
0.000288777  product : 1.78363e-120 ss 0
best: fs[38] 38  : es[11] 11 ,  a: 0.0546006 t: 0.0166816 score  
0.000910823  product : 1.62457e-123 ss 0
best: fs[39] 39  : es[11] 11 ,  a: 0.0202231 t: 0.0667274 score  
0.00134943  product : 2.19225e-126 ss 0
best: fs[40] 40  : es[11] 11 ,  a: 0.024409 t: 0.0166816 score  
0.00040718  product : 8.92639e-130 ss 0
best: fs[41] 41  : es[11] 11 ,  a: 0.0303612 t: 0.0166816 score  
0.000506472  product : 4.52097e-133 ss 0
best: fs[42] 42  : es[11] 11 ,  a: 0.0370472 t: 0.0166816 score  
0.000618006  product : 2.79399e-136 ss 0
best: fs[43] 43  : es[11] 11 ,  a: 0.0417571 t: 0.0500454 score  
0.00208975  product : 5.83874e-139 ss 0
best: fs[44] 44  : es[11] 11 ,  a: 0.0434814 t: 0.0166814 score  
0.000725332  product : 4.23502e-142 ss 0
best: fs[45] 45  : es[11] 11 ,  a: 0.047594 t: 0.016667 score  
0.00079325  product : 3.35943e-145 ss 0
best: fs[46] 46  : es[11] 11 ,  a: 0.0666425 t: 0.0166751 score  
0.00111127  product : 3.73324e-148 ss 0
best: fs[47] 47  : es[11] 11 ,  a: 0.0767733 t: 0.0166492 score  
0.00127821  product : 4.77188e-151 ss 0
best: fs[48] 48  : es[11] 11 ,  a: 0.141374 t: 0.0165087 score  
0.0023339  product : 1.11371e-153 ss 0
Fert[0] selected 9
Fert[1] selected 0
Fert[2] selected 0
Fert[3] selected 0
Fert[4] selected 0
Fert[5] selected 2
Fert[6] selected 1
Fert[7] selected 0
Fert[8] selected 0
Fert[9] selected 1
Fert[10] selected 0
Fert[11] selected 9
Fert[12] selected 2
Fert[13] selected 1
Fert[14] selected 0
Fert[15] selected 1
Fert[16] selected 3
Fert[17] selected 0
Fert[18] selected 4
Fert[19] selected 3
Fert[20] selected 3
Fert[21] selected 9
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