Package: kgrams 0.2.1
kgrams: Classical k-gram Language Models
Training and evaluating k-gram language models in R, supporting several probability smoothing techniques, perplexity computations, random text generation and more.
Authors:
kgrams_0.2.1.tar.gz
kgrams_0.2.1.zip(r-4.7)kgrams_0.2.1.zip(r-4.6)kgrams_0.2.1.zip(r-4.5)
kgrams_0.2.1.tgz(r-4.6-x86_64)kgrams_0.2.1.tgz(r-4.6-arm64)kgrams_0.2.1.tgz(r-4.5-x86_64)kgrams_0.2.1.tgz(r-4.5-arm64)
kgrams_0.2.1.tar.gz(r-4.7-arm64)kgrams_0.2.1.tar.gz(r-4.7-x86_64)kgrams_0.2.1.tar.gz(r-4.6-arm64)kgrams_0.2.1.tar.gz(r-4.6-x86_64)
kgrams_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kgrams/json (API)
NEWS
| # Install 'kgrams' in R: |
| install.packages('kgrams', repos = c('https://vgherard.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vgherard/kgrams/issues
Pkgdown/docs site:https://vgherard.github.io
language-modelsn-gramsnatural-language-processingcpp
Last updated from:bf86cee71a (on v0.2.1). Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 161 | ||
| linux-devel-x86_64 | NOTE | 177 | ||
| source / vignettes | OK | 268 | ||
| linux-release-arm64 | NOTE | 157 | ||
| linux-release-x86_64 | NOTE | 165 | ||
| macos-release-arm64 | NOTE | 177 | ||
| macos-release-x86_64 | NOTE | 205 | ||
| macos-oldrel-arm64 | NOTE | 147 | ||
| macos-oldrel-x86_64 | NOTE | 246 | ||
| windows-devel | NOTE | 232 | ||
| windows-release | NOTE | 207 | ||
| windows-oldrel | NOTE | 202 | ||
| wasm-release | OK | 120 |
Exports:%+%%|%as_dictionaryBOSdictionaryEOSinfokgram_freqslanguage_modelparamparam<-parametersperplexitypreprocessprobabilityprocess_sentencesquerysample_sentencessmootherstknz_sentUNK
Dependencies:rbibutilsRcppRcppProgressRdpackrlang
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| String concatenation | %+% |
| Word dictionaries | as.character.kgrams_dictionary as_dictionary as_dictionary.character as_dictionary.kgrams_dictionary dictionary dictionary.character dictionary.connection dictionary.kgram_freqs |
| Special Tokens | BOS EOS special_tokens UNK |
| k-gram Frequency Tables | kgram_freqs kgram_freqs.character kgram_freqs.connection kgram_freqs.kgram_freqs kgram_freqs.numeric process_sentences process_sentences.character process_sentences.connection |
| k-gram Language Models | language_model language_model.kgram_freqs language_model.language_model |
| A Midsummer Night's Dream | midsummer |
| Much Ado About Nothing | much_ado |
| Language Model Parameters | param param.kgram_freqs param<- parameters |
| Language Model Perplexities | perplexity perplexity.character perplexity.connection |
| Text preprocessing | preprocess |
| Language Model Probabilities | probability probability.character probability.kgrams_word_context |
| Query k-gram frequency tables or dictionaries | query query.kgrams_dictionary query.kgram_freqs |
| Random Text Generation | sample_sentences |
| k-gram Probability Smoothers | info smoothers |
| Sentence tokenizer | tknz_sent |
| Word-context conditional expression | %|% word_context |
