Comments (4)
GoogleCodeExporter
commented on September 26, 2024
Sorry, I don't know how I missed this bug report for so long! Not sure what
happened.
Are you actually talking about running on the full google n-grams corpus? If
so, then you need substantial amounts of memory, much more than the 10GB needed
to store the n-grams once the binary is built. I haven't actually figured out
what the minimum necessary is, but I would think you need at list 50GB of
memory, which is available on large EC2 instances.
However, I have pre-built binaries of these already compiled for you, so you
can just download those (instructions are on the web page).
Original comment by [email protected] on 19 Feb 2012 at 5:48
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GoogleCodeExporter
commented on September 26, 2024
Original comment by [email protected] on 9 Aug 2012 at 5:30
- Changed state: WontFix
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GoogleCodeExporter
commented on September 26, 2024
How long does it take to build the LM on the full n-grams corpus?
Original comment by [email protected] on 19 Aug 2012 at 9:33
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GoogleCodeExporter
commented on September 26, 2024
It takes I think something on the order of 24 hours, maybe a little less. It's
not something I've optimized heavily, so sorry about that. Let me know if you
have any trouble building yourself (other than time and memory issues . . . )
Original comment by [email protected] on 20 Aug 2012 at 6:51
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Related Issues (20)
- ArrayIndexOutOfBoundsException while calling getLogProb HOT 8
- Runtime exception: Hash map is full with 100 keys. Should never happen. HOT 16
- What's the log base of NgramLanguageModel.getLogProb() ? HOT 5
- Can I feed this library raw counts instead of text files, and have it compute the Kneser Ney probabilities for me? HOT 1
- ArrayOutOfBoundsException when reading in a large ARPA file. HOT 7
- Are the log probabilities comparable across language models? HOT 4
- Cannot train unigram model with Kneser-Ney HOT 2
- Unrealistic perplexity HOT 3
- broken link on http://tomato.banatao.berkeley.edu:8080/berkeleylm_binaries/ HOT 1
- StarPos and EndPos for ngram log probability HOT 3
- Getting NAN on last trigram when using google binary HOT 1
- Trying to build a language model on higher-order n-grams. HOT 3
- Frequency Map HOT 1
- Calculating log probability over larger document
- Unknown Values
- Old mvn file
- no start token with LmReaders.readNgramMapFromBinary?
- no license information
- Documentation, usage, etc.
- creating and reading arpa files is 1. locale dependant 2. seems to have problems with multiple tabs in the text 3. seems to have some problem with the lack of newlines HOT 3
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