"# 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.