Char CNN LSTM POS Tagger
Char CNN LSTM Part-of-Speech Tagger based on the architecture described in the paper
Character-Aware Neural Language Models.
The main difference is usage of bidirectional LSTM.
Some pieces of code are borrowed from
TensorFlow implementation of lstm-char-cnn.
We train this network on OpenCorpora corpus for Russian language.
To download the latest version of the corpus execute:
python download_data.py
Then you can train the network by executing the following command:
python train.py