Added voice control
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#############################################################################
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## Copyright (c) 1996, Carnegie Mellon University, Cambridge University,
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## Ronald Rosenfeld and Philip Clarkson
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#############################################################################
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=============================================================================
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=============== This file was produced by the CMU-Cambridge ===============
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=============== Statistical Language Modeling Toolkit ===============
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=============================================================================
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This is a 1-gram language model, based on a vocabulary of 28 words,
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which begins "<s>", "a", "b"...
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This is an OPEN-vocabulary model (type 1)
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(OOVs were mapped to UNK, which is treated as any other vocabulary word)
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Good-Turing discounting was applied.
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1-gram frequency of frequency : 27
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1-gram discounting ratios : 0.93
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This file is in the ARPA-standard format introduced by Doug Paul.
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p(wd3|wd1,wd2)= if(trigram exists) p_3(wd1,wd2,wd3)
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else if(bigram w1,w2 exists) bo_wt_2(w1,w2)*p(wd3|wd2)
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else p(wd3|w2)
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p(wd2|wd1)= if(bigram exists) p_2(wd1,wd2)
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else bo_wt_1(wd1)*p_1(wd2)
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All probs and back-off weights (bo_wt) are given in log10 form.
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Data formats:
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Beginning of data mark: \data\
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ngram 1=nr # number of 1-grams
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\1-grams:
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p_1 wd_1
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end of data mark: \end\
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\data\
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ngram 1=29
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\1-grams:
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-1.4460 <UNK> 0.0000
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-99.0000 <s> 0.0000
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-1.4460 a 0.0000
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-1.4460 b 0.0000
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-1.4460 c 0.0000
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-1.4460 d 0.0000
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-1.4460 e 0.0000
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-1.4460 f 0.0000
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-1.4460 g 0.0000
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-1.4460 h 0.0000
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-1.4460 i 0.0000
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-1.4460 j 0.0000
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-1.4460 k 0.0000
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-1.4460 l 0.0000
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-1.4460 m 0.0000
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-1.4460 n 0.0000
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-1.4460 o 0.0000
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-1.4460 p 0.0000
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-1.4460 q 0.0000
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-1.4460 r 0.0000
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-1.4460 s 0.0000
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-1.4460 t 0.0000
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-1.4460 u 0.0000
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-1.4460 v 0.0000
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-1.4460 w 0.0000
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-1.4460 x 0.0000
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-1.4460 y 0.0000
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-1.4460 z 0.0000
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-1.4794 </s> 0.0000
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\end\
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