# Classical k-gram Language Models

## Documentation for package ‘kgrams’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

%+% | String concatenation
%|% | Word-context conditional expression
as.character.kgrams_dictionary | Word dictionaries
as_dictionary | Word dictionaries
as_dictionary.character | Word dictionaries
as_dictionary.kgrams_dictionary | Word dictionaries
BOS | Special Tokens
dictionary | Word dictionaries
dictionary.character | Word dictionaries
dictionary.connection | Word dictionaries
dictionary.kgram_freqs | Word dictionaries
EOS | Special Tokens
info | k-gram Probability Smoothers
kgram_freqs | k-gram Frequency Tables
kgram_freqs.character | k-gram Frequency Tables
kgram_freqs.connection | k-gram Frequency Tables
kgram_freqs.kgram_freqs | k-gram Frequency Tables
kgram_freqs.numeric | k-gram Frequency Tables
language_model | k-gram Language Models
language_model.kgram_freqs | k-gram Language Models
language_model.language_model | k-gram Language Models
midsummer | A Midsummer Night's Dream
much_ado | Much Ado About Nothing
param | Language Model Parameters
param.kgram_freqs | Language Model Parameters
param<- | Language Model Parameters
parameters | Language Model Parameters
perplexity | Language Model Perplexities
perplexity.character | Language Model Perplexities
perplexity.connection | Language Model Perplexities
preprocess | Text preprocessing
probability | Language Model Probabilities
probability.character | Language Model Probabilities
probability.kgrams_word_context | Language Model Probabilities
process_sentences | k-gram Frequency Tables
process_sentences.character | k-gram Frequency Tables
process_sentences.connection | k-gram Frequency Tables
query | Query k-gram frequency tables or dictionaries
query.kgrams_dictionary | Query k-gram frequency tables or dictionaries
query.kgram_freqs | Query k-gram frequency tables or dictionaries
sample_sentences | Random Text Generation
smoothers | k-gram Probability Smoothers
special_tokens | Special Tokens
tknz_sent | Sentence tokenizer
UNK | Special Tokens
word_context | Word-context conditional expression