SP: Simple Structured Perceptron tagger in Python
The code implements a simple structured perceptron tagger.
Train a model:
python simpletagger.py --train TRAINFILE --test TESTFILE
Expects CoNLL input (sentences delimited by a newline, words and tag delimited by tab).
- Add your own features (see
get_features
method). - Not memory efficient.
- See all options by running
python simpletagger.py
Please let me know if you plan to extend/improve this code basis.