/ape-npi

Source code of paper "Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach" - EMNLP2018

Primary LanguagePythonApache License 2.0Apache-2.0

APE-NPI

Source code of paper "Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach" - EMNLP2018

Dependencies

  • TensorFlow 1.2+ for Python 3
  • YAML and Matplotlib modules for Python 3: sudo apt-get install python3-yaml python3-matplotlib
  • A recent NVIDIA GPU

How to use

Train a model (CONFIG is a YAML configuration file, such as config/default.yaml):

./seq2seq.sh CONFIG --train -v

Translate text using an existing model:

./seq2seq.sh CONFIG --decode FILE_TO_TRANSLATE --output OUTPUT_FILE

or for interactive decoding:

./seq2seq.sh CONFIG --decode

APE experiments

  • Training scripts and configuration for all experiments in the paper can be found under ./experiments folder

Credits