KN: Kneser Ney
In DecisionScients/NLPStudio: Natural Language Processing in Objected Oriented R Environment
Description
Usage
Arguments
Format
Details
Author(s)
See Also
Description
KN Kneser-Ney Statistical Learning Model
Usage
1
Arguments
x
a CVSet containing training and test Corpus objects
train
Train Corpus object. Ignored if x is a CVSet, required otherwise.
test
Test Corpus object. Ignored if x is a CVSet, required otherwise.
modelSize
Numeric between 1, for unigram to 5 for quintgram.
openVocabulary
Logical. If TRUE, preprocessing will replace all words
in the test corpus that are not in the training corpus with the pseudo-word
UNK. If FALSE, all words in test corpus are assumed to be in the training
corpus. The default is TRUE.
Format
An object of class R6ClassGenerator of length 24.
Details
Encapsulates a Statistical Language Model implementing the Kneser-Ney
smoothing algorithm.
Author(s)
John James, jjames@dataScienceSalon.org
See Also
Other Statistical Language Model Classes: Katz,
MKN, SLM0
DecisionScients/NLPStudio documentation built on May 15, 2019, 12:51 p.m.
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Description Usage Arguments Format Details Author(s) See Also
Description
KN Kneser-Ney Statistical Learning Model
Usage
1 |
Arguments
x |
a CVSet containing training and test Corpus objects |
train |
Train Corpus object. Ignored if x is a CVSet, required otherwise. |
test |
Test Corpus object. Ignored if x is a CVSet, required otherwise. |
modelSize |
Numeric between 1, for unigram to 5 for quintgram. |
openVocabulary |
Logical. If TRUE, preprocessing will replace all words in the test corpus that are not in the training corpus with the pseudo-word UNK. If FALSE, all words in test corpus are assumed to be in the training corpus. The default is TRUE. |
Format
An object of class R6ClassGenerator of length 24.
Details
Encapsulates a Statistical Language Model implementing the Kneser-Ney smoothing algorithm.
Author(s)
John James, jjames@dataScienceSalon.org
See Also
Other Statistical Language Model Classes: Katz,
MKN, SLM0
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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