lidirl

Name	lidirl JSON
Version	0.0.1 JSON
	download
home_page	https://github.com/rewicks/lidirl/
Summary	LID toolkit to improve performance on spontaneous noisy text with data augmentation.
upload_time	2023-03-23 00:00:15
maintainer
docs_url	None
author	Rachel Wicks
requires_python	>=3
license	Apache License 2.0
keywords	language identification lid langid data processing preprocessing nlp natural language processing comptuational linguistics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            LIDIRL is a simple toolkit for LID targeting noisy spontaneous text as one might find in internet data.It allows for training custom models or using a pretrained solution.

            

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