hal/lib/sphinx4-5prealpha-src/tests/performance/an4/an4_words.unigram.lm
Ziver Koc 2df55ef214 Added Oregon protocoll
Former-commit-id: ad6e4110a0338bdc1190f593cb3bd1c64ac4965c
2015-11-19 01:27:18 +01:00

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#############################################################################
## Copyright (c) 1996, Carnegie Mellon University, Cambridge University,
## Ronald Rosenfeld and Philip Clarkson
#############################################################################
=============================================================================
=============== This file was produced by the CMU-Cambridge ===============
=============== Statistical Language Modeling Toolkit ===============
=============================================================================
This is a 1-gram language model, based on a vocabulary of 71 words,
which begins "<s>", "</s>", "a"...
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 : 16
1-gram discounting ratios : 0.89
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
\1-grams:
p_1 wd_1
end of data mark: \end\
\data\
ngram 1=72
\1-grams:
-3.3174 <UNK> 0.0000
-99.0000 <s> 0.0000
-3.3754 </s> 0.0000
-3.3174 a 0.0000
-3.3174 april 0.0000
-3.3174 area 0.0000
-2.6642 august 0.0000
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\end\