An implementation of a HMM algorithm for supervised POS tagging. Accuracy at 96.4% in testing and 94.2% in training (state-of-art accuracy at 97%).
Computational Linguistics and Data Science
An implementation of a HMM algorithm for supervised POS tagging. Accuracy at 96.4% in testing and 94.2% in training (state-of-art accuracy at 97%).