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The word and character n-gram models are pretty simple. The feature, as defined, is set as True if some percentage of the tokens on the line exist in the language model for the given language. We coul…
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Utilize feature engineering methods for text such as TF-IDF, Bag of Words, N-Grams, etc...
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Do you have any example how to do N-gram based search indexing and retrieval?
E.g. I'd like to index the phrase "Search and Storage Server", and when I search for "storaeg" it should have a good ch…
isoos updated
5 years ago
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Using the FreqDist and ConditionalFreqDist from NLTK, build the uni-gram bi-gram and trig-gram models for both words and tags.
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Hi,
I'd like to use the Google n-gram data but that requires passing the '--languagemodel' option, any chance we can get this option supported?
many thanks
http://wiki.languagetool.org/findin…
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After processing wikipedia with the fixes as of `274293f3af97c507416f6387020507ee99ca3238`, the tail of the DocFreqTable has a lot of n-grams:
~~~
724ddeaf8cb3c269,1,0,1.93455e-07,Vasilije Veljko …
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Some counts are off by 2 to 3 % in version 1.9.3:
```
> x=ngram(c("der","die","der die", "der+die","der die + die"), corpus = "de-2019", smoothing=0, count=TRUE)
> x
# Ngram data table
# Phrase…