A Python library to conjugate verbs using Machine Learning techiques.
Project description
MLConjug
A Python library to conjugate verbs of Romance languages using Machine Learning techniques. Any verb in one of the supported language can be conjugated as the module contains a Machine Learning model of how romance verbs behave. Even completely new or made-up verbs can be successfully conjugated in this manner. The supplied pre-trained models are composed of:
a binary feature extractor,
a feature selector using Linear Support Vector Classification,
a classifier using Stochastic Gradient Descent.
MLConjug uses scikit-learn to implement the Machine Learning algorithms. Users of the library can use any compatible classifiers from scikit-learn to modify and retrain the model.
The training data is based on Verbiste https://perso.b2b2c.ca/~sarrazip/dev/verbiste.html .
Free software: MIT license
Documentation: https://mlconjug.readthedocs.io.
Supported Languages
French
Spanish (coming in next update)
Italian (coming in next update)
Portuguese (coming in next update)
Features
Easy to use API.
Includes a pre-trained model with 99.53% accuracy in predicting conjugation class of unknown verbs.
Easily train new models or add new romance language.
Easily integrate MLConjug in your own projects.
Can be used as a command line tool.
Credits
This package was created with the help of Verbiste and scikit-learn.
History
1.0.0 (2018-06-10)
First release on PyPI.
Project details
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