#############################################################################
## Copyright (c) 1996, Carnegie Mellon University, Cambridge University,
## Ronald Rosenfeld and Philip Clarkson
## Version 3, Copyright (c) 2006, Carnegie Mellon University 
## Contributors includes Wen Xu, Ananlada Chotimongkol, 
## David Huggins-Daines, Arthur Chan and Alan Black 
#############################################################################
=============================================================================
===============  This file was produced by the CMU-Cambridge  ===============
===============     Statistical Language Modeling Toolkit     ===============
=============================================================================
This is a 3-gram language model, based on a vocabulary of 6 words,
  which begins "</s>", "<s>", "east"...
This is an OPEN-vocabulary model (type 1)
  (OOVs were mapped to UNK, which is treated as any other vocabulary word)
Good-Turing discounting was applied.
1-gram frequency of frequency : 3 
2-gram frequency of frequency : 7 0 1 0 0 0 0 
3-gram frequency of frequency : 10 0 0 0 0 0 0 
1-gram discounting ratios : 0.50 
2-gram discounting ratios : 
3-gram discounting ratios : 
This file is in the ARPA-standard format introduced by Doug Paul.

p(wd3|wd1,wd2)= if(trigram exists)           p_3(wd1,wd2,wd3)
                else if(bigram w1,w2 exists) bo_wt_2(w1,w2)*p(wd3|wd2)
                else                         p(wd3|w2)

p(wd2|wd1)= if(bigram exists) p_2(wd1,wd2)
            else              bo_wt_1(wd1)*p_1(wd2)

All probs and back-off weights (bo_wt) are given in log10 form.

Data formats:

Beginning of data mark: \data\
ngram 1=nr            # number of 1-grams
ngram 2=nr            # number of 2-grams
ngram 3=nr            # number of 3-grams

\1-grams:
p_1     wd_1 bo_wt_1
\2-grams:
p_2     wd_1 wd_2 bo_wt_2
\3-grams:
p_3     wd_1 wd_2 wd_3 

end of data mark: \end\

\data\
ngram 1=7
ngram 2=8
ngram 3=10

\1-grams:
-1.0414 <UNK>	0.0000
-0.2632 </s>	-0.6990
-98.9622 <s>	-0.7579
-1.0414 east	-0.1347
-1.0414 north	-0.1347
-1.0414 south	-0.1347
-1.0414 west	0.0000

\2-grams:
-0.0969 </s> <s> -0.1249
-0.6532 <s> east 0.1761
-0.6532 <s> north 0.1761
-0.6532 <s> south 0.1761
-0.6532 <s> west 0.0414
-0.1761 east </s> 0.3979
-0.1761 north </s> 0.3979
-0.1761 south </s> 0.3979

\3-grams:
-0.6021 </s> <s> east 
-0.6021 </s> <s> south 
-0.6021 </s> <s> west 
-0.3010 <s> east </s> 
-0.3010 <s> north </s> 
-0.3010 <s> south </s> 
-0.3010 <s> west </s> 
-0.3010 east </s> <s> 
-0.3010 north </s> <s> 
-0.3010 south </s> <s> 

\end\