cleantmx | small Python library to help clean TMX files

by Numeri Python Version: Current License: No License

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kandi X-RAY | cleantmx Summary

cleantmx is a Python library. cleantmx has no bugs, it has no vulnerabilities and it has low support. However cleantmx build file is not available. You can download it from GitHub.

This library is meant to be a lightweight but powerful tool to help create data cleaning pipelines for NLP. It's designed to be flexible, and you can easily extend it with your own code. It comes with several built in filters of different types: most operate only on an individual segment, but some can modify source/target text using information from both (to remove source/target pairs that are identical, or with mismatched segment lengths, for example). See examples/process_tmx.py for an example of reading in a .tmx file of English-Swedish pairs, cleaning it, then saving two segment-aligned text files.

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Support

cleantmx has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

cleantmx has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cleantmx is current.

Quality

cleantmx has no bugs reported.

Security

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

License

cleantmx does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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cleantmx Key Features

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cleantmx Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install cleantmx

You can download it from GitHub.
You can use cleantmx 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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