pykakasi | Lightweight converter from Japanese Kana | Natural Language Processing library
kandi X-RAY | pykakasi Summary
kandi X-RAY | pykakasi Summary
pykakasi is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. pykakasi has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install pykakasi' or download it from GitHub, PyPI.
Lightweight converter from Japanese Kana-kanji sentences into Kana-Roman.
Lightweight converter from Japanese Kana-kanji sentences into Kana-Roman.
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Quality
Security
License
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Support
pykakasi has a low active ecosystem.
It has 318 star(s) with 46 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 57 have been closed. On average issues are closed in 85 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pykakasi is 2.3.0b1
Quality
pykakasi has 0 bugs and 0 code smells.
Security
pykakasi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pykakasi code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pykakasi is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
pykakasi releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
pykakasi saves you 857 person hours of effort in developing the same functionality from scratch.
It has 4177 lines of code, 167 functions and 20 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pykakasi and discovered the below as its top functions. This is intended to give you an instant insight into pykakasi implemented functionality, and help decide if they suit your requirements.
- Run build
- Parse Kakasi output files
- Parse a Kakasi dictionary
- Generate dictionary of dictionaries
- Generate a noun file
- Check if a word is akan word
- Check if a record is duplicated
- Parse unidicoun
- Load kakasidict from file
- Update the record with yomi and tail
- Parse a kanji dictionary
- Generate an adjective
- Parse an unidic adjective
- Convert H to H
- Convert half kana word to a string
- Post a comment on github
- Generate a summary table for each benchmark
- Convert a text
- Convert text to Table
- Convert a text representation of text
- Convert text to Unicode
- Convert text into text
- Convert a string to a string
- Generate a summary table
- Convert a non - h string to a text representation
- Print pstats
Get all kandi verified functions for this library.
pykakasi Key Features
No Key Features are available at this moment for pykakasi.
pykakasi Examples and Code Snippets
No Code Snippets are available at this moment for pykakasi.
Community Discussions
Trending Discussions on pykakasi
QUESTION
Convert names into romanji version using python
Asked 2021-Mar-18 at 10:20
I am currently using a japanese conversion library called pykakasi
I am trying to write a function so that it converts the japenese name to a romanised version:
Please find my function below:
...ANSWER
Answered 2021-Mar-17 at 13:11kakasi().convert()
returns a list ob dictionaries. You have to grab the "hepburn" parts and then combine them to a final string:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pykakasi
You can install using 'pip install pykakasi' or download it from GitHub, PyPI.
You can use pykakasi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use pykakasi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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