Package: gibasa 1.1.3

gibasa: An Alternative 'Rcpp' Wrapper of 'MeCab'

A plain 'Rcpp' wrapper for 'MeCab' that can segment Chinese, Japanese, and Korean text into tokens. The main goal of this package is to provide an alternative to 'tidytext' using morphological analysis.

Authors:Akiru Kato [aut, cre], Shogo Ichinose [aut], Taku Kudo [aut], Jorge Nocedal [ctb], Nippon Telegraph and Telephone Corporation [cph]

gibasa_1.1.3.tar.gz
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gibasa_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gibasa/json (API)

# Install 'gibasa' in R:

install.packages('gibasa', repos = c('https://paithiov909.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paithiov909/gibasa/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ginga - Whole text of 'Ginga Tetsudo no Yoru' written by Miyazawa Kenji from Aozora Bunko

On CRAN:

mecab pos-tagging rcpp cpp

4.83 score 17 stars 3 scripts 613 downloads 19 exports 31 dependencies

Last updated from:fbb6f732fb. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	167
linux-devel-x86_64	OK	172
source / vignettes	OK	211
linux-release-arm64	OK	178
linux-release-x86_64	OK	168
macos-release-arm64	OK	122
macos-release-x86_64	OK	326
macos-oldrel-arm64	OK	149
macos-oldrel-x86_64	OK	214
windows-devel	OK	187
windows-release	OK	192
windows-oldrel	OK	204
wasm-release	OK	144

Exports:as_tokens bind_lr bind_tf_idf2 build_sys_dic build_user_dic collapse_tokens dictionary_info gbs_tokenize get_dict_features get_transition_cost is_blank lex_density mute_tokens ngram_tokenizer pack posDebugRcpp posParallelRcpp prettify tokenize

Dependencies:bit bit64 cli clipr cpp11 crayon dplyr generics glue hms lattice lifecycle magrittr Matrix pillar pkgconfig prettyunits progress R6 Rcpp RcppParallel readr rlang stringi tibble tidyselect tzdb utf8 vctrs vroom withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create a list of tokens	as_tokens
Bind importance of bigrams	bind_lr
Bind term frequency and inverse document frequency	bind_tf_idf2
Build system dictionary	build_sys_dic
Build user dictionary	build_user_dic
Collapse sequences of tokens by condition	collapse_tokens
Get dictionary information	dictionary_info
Tokenize sentences using 'MeCab'	gbs_tokenize
Get dictionary features	get_dict_features
Get transition cost between pos attributes	get_transition_cost
Whole text of 'Ginga Tetsudo no Yoru' written by Miyazawa Kenji from Aozora Bunko	ginga
Check if scalars are blank	is_blank
Calculate lexical density	lex_density
Mute tokens by condition	mute_tokens
Ngrams tokenizer	ngram_tokenizer
Pack a data.frame of tokens	pack
Prettify tokenized output	prettify
Tokenize sentences using 'MeCab'	tokenize