KoG2P | Korean grapheme-to-phone conversion in Python | Natural Language Processing library

by scarletcho Python Version: 1.0 License: GPL-3.0

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | KoG2P Summary

KoG2P is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch applications. KoG2P has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However KoG2P build file is not available. You can download it from GitHub.

Given an input of a series of Korean graphemes/letters (i.e. Hangul), KoG2P outputs the corresponding pronunciations. 한국어의 문자열로부터 발음열을 생성하는 파이썬 기반 G2P 패키지입니다. 터미널에서 원하는 문자열을 함께 입력해 사용할 수 있습니다.

Support

Quality

Security

License

Reuse

Support

KoG2P has a low active ecosystem.

It has 105 star(s) with 24 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KoG2P is 1.0

Quality

KoG2P has 0 bugs and 0 code smells.

Security

KoG2P has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

KoG2P code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KoG2P 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

KoG2P releases are available to install and integrate.

KoG2P has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 222 lines of code, 13 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed KoG2P and discovered the below as its top functions. This is intended to give you an instant insight into KoG2P implemented functionality, and help decide if they suit your requirements.

Run the G2P performance test
Convert graph to phone number
Convert graph to phonon phonon
Read rules from file
Test the graph2p
Add phone boundary
Checks if var_list is a valid character list
Add a space to the phones
Convert phone numbers to pronono forms
Write body to a file
Check if characterint is valid
Run a ko2p

Get all kandi verified functions for this library.

KoG2P Key Features

No Key Features are available at this moment for KoG2P.

KoG2P Examples and Code Snippets

KoG2P,Reference

Python

Lines of Code : 8

License : Strong Copyleft (GPL-3.0)

Copy

@misc{cho2017kog2p,
  title = {Korean Grapheme-to-Phoneme Analyzer (KoG2P)},
  author = {Yejin Cho},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/scarletcho/KoG2P}}
}

KoG2P,How to use?

Python

Lines of Code : 2

License : Strong Copyleft (GPL-3.0)

Copy

$ python g2p.py '박물관'

p0 aa ng mm uu ll k0 wa nf

Community Discussions

Trending Discussions on KoG2P

Display of various plots with shared x-axis in R

QUESTION

Display of various plots with shared x-axis in R

Asked 2021-May-13 at 15:56

I'm currently trying to have a plot which displays various trajectories of time series with a shared x-axis (time).

...

ANSWER

Answered 2021-May-13 at 15:56

Using ggplot you can do this quite easily by first putting your data into a data frame formatted like this:

Source https://stackoverflow.com/questions/67473897

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install KoG2P

You can download it from GitHub.
You can use KoG2P 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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