This repository contains the files needed to execute a PoS tagging model based on HMMs and the Viterbi Algorithm. The main functionalities have been implemented in HMM.py, while PoS_tagger.ipynb serves as a showcase of the project, showing experiments and conclusions.
Ignacio Talavera, Joseba Bertolini, Mikel Zubillaga and Ekhi Azurmendi
We have included an enviroment .yml file to make the installation of the needed packages easier using Conda. To install the enviroment, please run the following command:
conda env create -f environment.yml
Afterwards, activate the environment using conda activate SyntaxPoSProject or select this same kernel in the kernel selector to run the Jupyter Notebook.