https://github.com/sekoud/mlconjug

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.
https://github.com/sekoud/mlconjug

conjugation conjugator linguistics machine-learning nlp nlp-library nlp-machine-learning python

Last synced: 8 months ago
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A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.

• Host: GitHub
• URL: https://github.com/sekoud/mlconjug
• Owner: SekouD
• License: mit
• Created: 2017-10-01T21:49:12.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-12-08T14:37:24.000Z (over 1 year ago)
• Last Synced: 2025-09-08T22:24:20.780Z (10 months ago)
• Topics: conjugation, conjugator, linguistics, machine-learning, nlp, nlp-library, nlp-machine-learning, python
• Language: Python
• Homepage:
• Size: 52.2 MB
• Stars: 73
• Watchers: 4
• Forks: 8
• Open Issues: 24
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Authors: AUTHORS.rst

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README

          
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mlconjug

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| 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:

- 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.

| 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.

* Free software: MIT license

* Documentation: https://mlconjug.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.

Credits

-------

This package was created with the help of Verbiste_ and scikit-learn_.

The logo was designed by Zuur_.

.. _Verbiste: https://perso.b2b2c.ca/~sarrazip/dev/verbiste.html

.. _scikit-learn: http://scikit-learn.org/stable/index.html

.. _Zuur: https://github.com/zuuritaly