Related Issues (20)
- Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException HOT 2
- How to train on Google n-grams HOT 3
- -mx1000m not appropriate for Google n-grams HOT 4
- Exception in thread "main" java.lang.NoClassDefFoundError: edu/berkeley/nlp/lm/io/MakeKneserNeyArpaFromText HOT 6
- MakeKneserNeyArpaFromText throws ArrayIndexOutOfBoundsException HOT 9
- 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
- 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
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