“Gigabye LM”版本间的差异

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3. word-based 3-gram
3. word-based 3-gram
第62行: 第62行:
 
|10k:  -  ||    770M            ||  193M    ||  135M
 
|10k:  -  ||    770M            ||  193M    ||  135M
 
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|20k: -  ||    -                    ||  -            || 142M
+
|20k: -  ||    -                    ||  217M    || 142M
 
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2012年9月13日 (四) 06:06的版本

1. very initial, without any prunning, character based. Here is the size and perplexity.

The training is with Gigabytes except the cna data, and ppl testing is based on a sub set from the cna data (big52gb applied)

2gram:

25M 2gram.4000.gz: 0 zeroprobs, logprob= -9.39983e+06 ppl= 161.965 ppl1= 177.141


3gram:

47M 3gram.500.gz:0 zeroprobs, logprob= -6.34868e+06 ppl= 85.1361 ppl1= 94.2525

117M 3gram.1000.gz  :0 zeroprobs, logprob= -7.43809e+06 ppl= 80.6408 ppl1= 87.7439

195M 3gram.2000.gz:0 zeroprobs, logprob= -7.95872e+06 ppl= 79.9875 ppl1= 86.5196

221M 3gram.3000.gz:0 zeroprobs, logprob= -8.04799e+06 ppl= 80.2418 ppl1= 86.7277

229M 3gram.4000.gz:0 zeroprobs, logprob= -8.15697e+06 ppl= 82.6585 ppl1= 89.3392

4gram:

205M 4gram.500.gz:0 zeroprobs, logprob= -6.25395e+06 ppl= 79.6739 ppl1= 88.0716

472M 4gram.1000.gz:0 zeroprobs, logprob= -7.21607e+06 ppl= 70.737 ppl1= 76.774


2. pruning the 4k 3gram LM.

Model 2gram 3gram size ppl fst size
1 1e-7 1e-7 30M ppl= 102.796 860M
2 1e-6 1e-6 5M ppl= 150.96 152M
3 1e-7 1e-6 11M ppl= 137.467 224M

3. word-based 3-gram

tri-gram size:

org th-7 th-7/6 th-6
10k: 52M 23M 8M 4M
20k: 57M 24M 9M 4M

final fst size:

org th-7 th-7/6 th-6
10k: - 770M 193M 135M
20k: - - 217M 142M