Package: fastText 1.0.8

fastText: Efficient Learning of Word Representations and Sentence Classification

An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <doi:10.48550/arXiv.1612.03651>.

Authors:Lampros Mouselimis [aut, cre], Facebook Inc [cph]

fastText_1.0.8.tar.gz
fastText_1.0.8.zip(r-4.7)fastText_1.0.8.zip(r-4.6)fastText_1.0.8.zip(r-4.5)
fastText_1.0.8.tgz(r-4.6-x86_64)fastText_1.0.8.tgz(r-4.6-arm64)fastText_1.0.8.tgz(r-4.5-x86_64)fastText_1.0.8.tgz(r-4.5-arm64)
fastText_1.0.8.tar.gz(r-4.7-arm64)fastText_1.0.8.tar.gz(r-4.7-x86_64)fastText_1.0.8.tar.gz(r-4.6-arm64)fastText_1.0.8.tar.gz(r-4.6-x86_64)
fastText_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fastText/json (API)

# Install 'fastText' in R:
install.packages('fastText', repos = c('https://mlampros.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlampros/fasttext/issues

Pkgdown/docs site:https://mlampros.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cppfasttextcpp

8.42 score 45 stars 59 scripts 676 downloads 97 mentions 15 exports 19 dependencies

Last updated from:697fd19d7a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK198
linux-devel-x86_64OK205
source / vignettesOK205
linux-release-arm64OK197
linux-release-x86_64OK151
macos-release-arm64OK129
macos-release-x86_64OK319
macos-oldrel-arm64OK143
macos-oldrel-x86_64OK227
windows-develOK198
windows-releaseOK154
windows-oldrelOK196
wasm-releaseOK149

Exports:fasttext_interfacelanguage_identificationplot_progress_logsprint_parametersprintAnalogiesUsageprintDumpUsageprintNNUsageprintPredictUsageprintPrintNgramsUsageprintPrintSentenceVectorsUsageprintPrintWordVectorsUsageprintQuantizeUsageprintTestLabelUsageprintTestUsageprintUsage

Dependencies:clicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr

Language Identification using the 'fastText' package (a Benchmark)
Benchmark based on the WiLI dataset | fastText based on the smaller pre-trained model 'lid.176.ftz' (approx. 917 kB) | fastText based on the bigger pre-trained model 'lid.176.bin' (approx. 126 MB) | ggplot visualization of the bigger .bin model | 'cld2' language recognition package | 'cld3' language recognition package | Language recognition using the 'textcat' R package | using the 'TC_byte_profiles' | using the 'TC_char_profiles' | Language recognition using the 'franc' R package | Overview datatable of all methods | Benchmark based on the Human Rights Declaration files | Comparison between 'fastText', 'cl2', 'cl3' and 'franc' for Multilingual output | fastText Multilingual | cld2 Multilingual | cld3 Multilingual | franc Multilingual
Rendered fromlanguage_identification.Rmdusingknitr::rmarkdown

Last update: 2026-01-18
Started: 2021-05-14

Functionality of the fastText R package
print_parameters | Print Usage Functions | fasttext_interface
Rendered fromthe_fastText_R_package.Rmdusingknitr::rmarkdown

Last update: 2019-07-14
Started: 2019-04-11