
MLCONJUG3¶
a binary feature extractor,
a feature selector using Linear Support Vector Classification,
a classifier using Stochastic Gradient Descent.
Warning
MLCONJUG3 now only supports Python 3.x as Python 2.x has been deprecated in 2020.
Free software: MIT license
Documentation: https://mlconjug3.readthedocs.io.
Supported Languages¶
French
English
Spanish
Italian
Portuguese
Romanian
Features¶
Easy to use API.
Includes pre-trained models with 99% + accuracy in predicting conjugation class of unknown verbs.
Easily train new models or add new languages.
Easily integrate MLConjug in your own projects.
Can be used as a command line tool.
Academic publications citing mlconjug¶
- Ali Malik and Mike Wu and Vrinda Vasavada and Jinpeng Song and John Mitchell and Noah D. Goodman and Chris Piech.Proceedings of the 34th AAAI conference on Artificial Intelligence, 2019.
Software projects using mlconjug¶
- This project offers tools to visualize the gender bias in pre-trained language models to better understand the prejudices in the data.
- This project uses language models to generate text that is well suited to the type of publication.
- This project offers a model which recognizes covid-19 masks.
- Need an excuse for why you can’t show up in your Zoom lectures? Just generate one here!
- Repository to store Natural Language Processing models.
- This is a simple virtual assistant. With it, you can search the Internet, access websites, open programs, and more using just your voice.This virtual assistant supports the English and Portuguese languages and has many settings that you can adjust to your liking.
- This python module responds to yes or no questions. It dishes out its advice at random.Disclaimer: Do not actually act on this advice ;)
- Python+Flask web app that uses mlconjug to dynamically generate foreign language conjugation questions.
- A dwarf-fortress adventure mode-inspired rogue-like Pygame Python3 game
BibTeX¶
If you want to cite mlconjug3 in an academic publication use this citation format:
@article{mlconjug3,
title={mlconjug3},
author={Sekou Diao},
journal={GitHub. Note: https://github.com/SekouDiaoNlp/mlconjug3 Cited by},
year={2021}
}
Credits¶
This package was created with the help of Verbiste and scikit-learn.
The logo was designed by Zuur.