Package: sudachir 0.1.0.9007
![](https://github.com/paithiov909/sudachir/raw/HEAD/man/figures/logo.png)
sudachir: R Interface to 'Sudachi'
Interface to 'Sudachi' <https://github.com/WorksApplications/sudachi.rs>, a Japanese morphological analyzer. This is a port of what is available in Python.
Authors:
sudachir_0.1.0.9007.tar.gz
sudachir_0.1.0.9007.zip(r-4.5)sudachir_0.1.0.9007.zip(r-4.4)sudachir_0.1.0.9007.zip(r-4.3)
sudachir_0.1.0.9007.tgz(r-4.4-any)sudachir_0.1.0.9007.tgz(r-4.3-any)
sudachir_0.1.0.9007.tar.gz(r-4.5-noble)sudachir_0.1.0.9007.tar.gz(r-4.4-noble)
sudachir_0.1.0.9007.tgz(r-4.4-emscripten)sudachir_0.1.0.9007.tgz(r-4.3-emscripten)
sudachir.pdf |sudachir.html✨
sudachir/json (API)
NEWS
# Install 'sudachir' in R: |
install.packages('sudachir', repos = c('https://paithiov909.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/uribo/sudachir/issues
Last updated 2 years agofrom:fd723a1db7. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 21 2024 |
R-4.5-win | OK | Aug 21 2024 |
R-4.5-linux | OK | Aug 21 2024 |
R-4.4-win | OK | Aug 21 2024 |
R-4.4-mac | OK | Aug 21 2024 |
R-4.3-win | OK | Aug 21 2024 |
R-4.3-mac | OK | Aug 21 2024 |
Exports:as_tokensdict_featuresforminstall_sudachipyrebuild_tokenizerremove_sudachipytokenize_to_dftokenizer
Dependencies:audubonbitbit64cachemclicliprcpp11crayoncurldplyrfansifastmapgenericsglueherehmsjsonlitelatticelifecyclemagrittrMatrixmemoisepillarpkgconfigpngprettyunitsprogresspurrrR6rappdirsRcppRcppTOMLreadrreticulaterlangrprojrootrstudioapistringitibbletidyselecttzdbutf8V8vctrsvroomwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a list of tokens | as_tokens |
Create virtualenv env used by sudachir | create_sudachipy_env |
Get dictionary's features | dict_features |
Create a list of tokens | form |
Install SudachiPy | install_sudachipy |
Rebuild 'Sudachi' tokenizer | rebuild_tokenizer |
Remove SudachiPy | remove_sudachipy |
'Sudachi' tokenizer | sudachir-defunct tokenizer |
Create a data.frame of tokens | tokenize_to_df |