Loading the LM will be faster if you build a binary file.
Reading ../standard/nc-wmt11.en.srilm.gz
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  Example feature: Shape_S00000_T00000
dtrain
Parameters:
                       k 100
                       N 4
                       T 1
           learning rate 0.0001
                  margin 1
                  l1 reg 0
            decoder conf 'cdec.ini'
                   input 'work/shard.3.0'
                  output 'work/weights.3.1'
              weights in 'work/weights.0'
(1 dot per processed input)
Iteration #1 of 1.
 . 1
WEIGHTS
              Glue = -0.2588
       WordPenalty = +0.2907
     LanguageModel = +1.633
 LanguageModel_OOV = -0.0845
     PhraseModel_0 = -0.3393
     PhraseModel_1 = -0.02459
     PhraseModel_2 = +0.2491
     PhraseModel_3 = +0.07205
     PhraseModel_4 = -0.9481
     PhraseModel_5 = +0.02055
     PhraseModel_6 = -0.2971
       PassThrough = -0.3728
        ---
       1best avg score: 4.499 (+4.499)
 1best avg model score: -45.68
         avg # updates: 2016
   non-0 feature count: 2130
           avg f count: 175.9
           avg list sz: 100
(time 0.05 min, 3 s/S)

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Best iteration: 1 [GOLD = 4.499].
This took 0.05 min.