Comments (3)
Oh, sorry, you can look at
http://code.google.com/p/berkeleylm/source/detail?r=519 to see what the changes
are.
Original comment by [email protected]
on 17 Oct 2012 at 3:31
from berkeleylm.
Sorry, don't know what happened, but I'm traveling right now and
debugging/editing is a challenge. I'm not sure what's causing #3, but #1 and #2
are easy fixes. I submitted a change (revision 519) -- you can paste the
changes in manually since only 3 lines are touched.
Thanks for filing the report!
Original comment by [email protected]
on 17 Oct 2012 at 3:35
- Changed state: Started
from berkeleylm.
Marking as fixed.
Original comment by [email protected]
on 9 Feb 2013 at 5:05
- Changed state: Fixed
from berkeleylm.
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.
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