KoLM | Korean text normalization and language | Natural Language Processing library

by scarletcho Python Version: 1.1.4 License: GPL-3.0

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

kandi X-RAY | KoLM Summary

KoLM is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch applications. KoLM 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 KoLM' or download it from GitHub, PyPI.

한국어 언어모델 제작을 위한 파이썬 기반 한국어 텍스트처리 패키지입니다.

Support

Quality

Security

License

Reuse

Support

KoLM has a low active ecosystem.

It has 33 star(s) with 13 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 40 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KoLM is 1.1.4

Quality

KoLM has 0 bugs and 0 code smells.

Security

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

KoLM code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KoLM 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

KoLM releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

KoLM saves you 371 person hours of effort in developing the same functionality from scratch.

It has 886 lines of code, 42 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Removes header from headeredfname
Normalize a corpus
Normalize text
Parse the arc line
Split a corpus by sentence
Convert text files to new encoding
Read rulebook rules
Performs morphological morph
Concatenate NOUNDS
Convert a list of tokens to a pseudopotential
Combine morphological paragraphs
Write a lexicon file
Convert graph to phone number
Translate graph to phonon
Add phone boundary
Get unique words from a text file
Concatenate the tags in the input file
Concatenate files in stack
Runs the G2P performance test
Test for G2P
Adds spaces to a list of phones
Runs a Koji graph
Read rulebook
Write a textraw document
Convert a corpus into a list of spaces

Get all kandi verified functions for this library.

KoLM Key Features

No Key Features are available at this moment for KoLM.

KoLM Examples and Code Snippets

No Code Snippets are available at this moment for KoLM.

Community Discussions

Trending Discussions on KoLM

How to get CSV data with Angular HttpClient: unexpected token in JSON at JSON.parse

QUESTION

How to get CSV data with Angular HttpClient: unexpected token in JSON at JSON.parse

Asked 2019-Jan-25 at 08:08

I have an application that reads CSV data from a Java webservice. Upon reading data I am getting the following error:

...

ANSWER

Answered 2019-Jan-25 at 08:08

You need to set http.get() response type to text

Source https://stackoverflow.com/questions/54360693

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

Vulnerabilities

No vulnerabilities reported

Install KoLM

The latest version is available in PyPI:.
The latest version is available in PyPI: $ pip install kolm

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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