ARG=i
ARG=r
ARG=d
ARG=v
ARG=o
ARG=p
INITIAL PASS 
...............................................
expected target length = source length * 0.968857
ITERATION 1
...............................................
  log_e likelihood: -2.90708e+07
  log_2 likelihood: -4.19403e+07
     cross entropy: 29.8974
        perplexity: 1e+09
      posterior p0: 0.08
 posterior al-feat: -0.165333
       size counts: 1123
ITERATION 2
...............................................
  log_e likelihood: -7.36117e+06
  log_2 likelihood: -1.06199e+07
     cross entropy: 7.57046
        perplexity: 190.08
      posterior p0: 0.0386408
 posterior al-feat: -0.0821603
       size counts: 1123
  1  model al-feat: -0.179333 (tension=4)
  2  model al-feat: -0.136784 (tension=5.94344)
  3  model al-feat: -0.11985 (tension=7.03592)
  4  model al-feat: -0.110235 (tension=7.7897)
  5  model al-feat: -0.103954 (tension=8.3512)
  6  model al-feat: -0.0995204 (tension=8.78707)
  7  model al-feat: -0.0962349 (tension=9.13427)
  8  model al-feat: -0.0937173 (tension=9.41576)
     final tension: 9.6469
ITERATION 3
...............................................
  log_e likelihood: -3.63583e+06
  log_2 likelihood: -5.24539e+06
     cross entropy: 3.7392
        perplexity: 13.354
      posterior p0: 0.0267878
 posterior al-feat: -0.0452122
       size counts: 1123
  1  model al-feat: -0.091741 (tension=9.6469)
  2  model al-feat: -0.0845227 (tension=10.5775)
  3  model al-feat: -0.0792148 (tension=11.3637)
  4  model al-feat: -0.0751095 (tension=12.0437)
  5  model al-feat: -0.0718199 (tension=12.6417)
  6  model al-feat: -0.0691141 (tension=13.1738)
  7  model al-feat: -0.0668432 (tension=13.6519)
  8  model al-feat: -0.0652765 (tension=14)
     final tension: 14
ITERATION 4
...............................................
  log_e likelihood: -2.93964e+06
  log_2 likelihood: -4.241e+06
     cross entropy: 3.02322
        perplexity: 8.12979
      posterior p0: 0.0221159
 posterior al-feat: -0.0382908
       size counts: 1123
  1  model al-feat: -0.0652765 (tension=14)
  2  model al-feat: -0.0652765 (tension=14)
  3  model al-feat: -0.0652765 (tension=14)
  4  model al-feat: -0.0652765 (tension=14)
  5  model al-feat: -0.0652765 (tension=14)
  6  model al-feat: -0.0652765 (tension=14)
  7  model al-feat: -0.0652765 (tension=14)
  8  model al-feat: -0.0652765 (tension=14)
     final tension: 14
ITERATION 5 (FINAL)
...............................................
  log_e likelihood: -2.8531e+06
  log_2 likelihood: -4.11615e+06
     cross entropy: 2.93422
        perplexity: 7.64342
      posterior p0: 0
 posterior al-feat: 0
       size counts: 1123
conditional probabilities: an-es.params