* Added Arabic model * Re-arranged folder setup for PyPI deployment
1.0.0
* Single file implementation, no classes for multilabel encoder etc. * Switch classifier to xgboost * Add interface for getting probabilities instead of predictions * Add hyperparameter optimization code * Various minor improvements
0.9.0
For more details see:
Zeldes, Amir (2018) A Characterwise Windowed Approach to Hebrew Morphological Segmentation. In: Proceedings of the 15th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. Brussels, Belgium.