Simple part-of-speech tagger implemented using a feedforward network in Tensorflow.
Done as a homework project for the Natural Language Understanding course at ETH Zurich, taught by Prof. Thomas Hofmann and Dr. Massimiliano Ciaramita. Code is based on a skeleton provided with the homework by Florian Schmidt.
First, train the model using train.py:
$ python3 train.py
Once you're happy with how well trained the model is, run demo.py, input a
sentence, and see the model annotate it with
Penn Treebank
part-of-speech tags:
$ python3 demo.py
Enter a sentence to be annotated:
The Carterfone is a device invented by Thomas Carter
Loading saved vocabulary...
Generating tensors...
Your sentence, annotated:
The/DT Carterfone/NNP is/VBZ a/DT device/NN invented/VBN by/IN Thomas/NNP Carter/NNP