A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) 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 the verbs behave.
Even completely new or made-up verbs can be successfully conjugated in this manner.
The supplied pre-trained models are composed of:
Any verb in one of the supported language can be conjugated, as the module contains a Machine Learning model of how the 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 models.
Users of the library can use any compatible classifiers from scikit-learn to modify and retrain the models.
The training data for the french model is based on Verbiste https://perso.b2b2c.ca/~sarrazip/dev/verbiste.html .
The training data for English, Spanish, Italian, Portuguese and Romanian was generated using unsupervised learning techniques using the French model as a model to query during the training.
The training data for English, Spanish, Italian, Portuguese and Romanian was generated using unsupervised learning techniques using the French model as a model to query during the training.
- Free software: MIT license
- Documentation: https://mlconjug.readthedocs.io.
- French
- English
- Spanish
- Italian
- Portuguese
- Romanian
- 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.
This package was created with the help of Verbiste and scikit-learn.
The logo was designed by Zuur.
