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Universal data IO and neural network modules in NLP tasks.
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JT-Ushio Merge pull request #7 from JT-Ushio/master
[release v0.0.4] fix some .utils & .nn.dynet bugs
Latest commit 6b416d5 Mar 18, 2019
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antu Merge branch 'release-0.0.4' into master Mar 18, 2019
doc fix(doc): add antu description. Dec 28, 2018
examples/dependency_parsing features(example): add Dependency Parsing example. Jan 21, 2019
LICENSE fix(README): add documentation link and pip install. Dec 28, 2018
requirements.txt fix(requirements): add requirements.txt. Dec 28, 2018 init(antu): v0.0.4 ready. Mar 18, 2019


Universal data IO and neural network modules in NLP tasks.

  • data IO is an universal module in Natural Language Processing system and not based on any framework (like TensorFlow, PyTorch, MXNet, Dynet...).
  • neural network module contains the neural network structures commonly used in NLP tasks. We want to design commonly used structures for each neural network framework. We will continue to develop this module.


  • Python>=3.6
  • bidict==0.17.5
  • numpy==1.15.4
  • numpydoc==0.8.0
  • overrides==1.9
  • pytest==4.0.2
If you need dynet neural network:
  • dynet>=2.0

Installing via pip

pip install antu


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