unidic-lite | A small version of UniDic for easy pip installs | Natural Language Processing library

by polm Python Version: 1.0.8a1 License: Non-SPDX

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

kandi X-RAY | unidic-lite Summary

unidic-lite is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. unidic-lite has no bugs, it has no vulnerabilities, it has build file available and it has low support. However unidic-lite has a Non-SPDX License. You can install using 'pip install unidic-lite' or download it from GitHub, PyPI.

This is a version of unidic-py that is designed to be installable with pip alone, not requiring any extra downloads. At the moment it uses Unidic 2.1.2, from 2013, which is the most recent release of UniDic that's small enough to be distributed via PyPI. In order to use this you will need to install a MeCab wrapper such as mecab-python3 or fugashi.

Support

Quality

Security

License

Reuse

Support

unidic-lite has a low active ecosystem.

It has 12 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 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 unidic-lite is 1.0.8a1

Quality

unidic-lite has no bugs reported.

Security

unidic-lite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

unidic-lite has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

unidic-lite 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.

Top functions reviewed by kandi - BETA

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

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unidic-lite Key Features

No Key Features are available at this moment for unidic-lite.

unidic-lite Examples and Code Snippets

how to add mecab library in aws lambda

Python

Lines of Code : 26

License : Strong Copyleft (CC BY-SA 4.0)

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mecab-python3
unidic-lite

docker run -v "$PWD":/var/task "lambci/lambda:build-python3.8" /bin/sh -c "pip install -r requirements.txt -t python/lib/python3.8/site-packages/; exit"

zip -9 -r

Community Discussions

Trending Discussions on unidic-lite

how to add mecab library in aws lambda

QUESTION

how to add mecab library in aws lambda

Asked 2021-May-15 at 10:55

I'm trying to add mecab library to aws lambda layer but it didn't work.

What I want is to tokenize Japanese and Korean languages. Tokenizing is enough.

Here's what I have done. (I referred to this site: https://towardsdatascience.com/how-to-install-python-packages-for-aws-lambda-layer-74e193c76a91 for installing python packages for aws lambda layers)

AWS EC2 docker installation.
Build docker file

...

ANSWER

Answered 2021-May-15 at 10:55

You can create a lambda layer using docker as described in the AWS blog.

Thus you can add mecab to your function as follows:

Create empty folder, e.g. mylayer.
Go to the folder and create requirements.txt file with the content of

Source https://stackoverflow.com/questions/67545724

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

Vulnerabilities

No vulnerabilities reported

Install unidic-lite

You can install using 'pip install unidic-lite' or download it from GitHub, PyPI.
You can use unidic-lite 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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