"# computational-linguistics"

This an implementation of a POS tagger using HMM model.

POS Tagging is the backbone of many NLP applications.

It achieves great accuracy on the Penn-TreeBank corpora.

It has been implemented in the F# programming language.

To run the trainer just run the WholeTestSet.fsx or KFold.fsx, respectively training the model on the whole corpora and the latter applying different 90-10 splits on the data for training and validation.