This repository contains some neural network examples for natural language processing (NLP) using Chainer framework.

Chainer Official (GitHub)

Before running these scripts, making a local python client using pyenv is reccomended, like:

$ pyenv install 3.5.0
$ pyenv virtualenv 3.5.0 example
$ pyenv shell example
$ pip install chainer

• Machine Translation

  • mt_s2s_encdec.py - Using encoder-decoder style recurrent neural network
  • mt_s2s_attention.py - Using attentional neural network

• Word Segmentation (Tokenization)

  • seg_ffnn.py - Using feedforward neural network
  • seg_rnn.py - Using recurrent neural network

• Language Model

  • lm_rnn.py - Using recurrent neural network (RNNLM)

If you find an issue or have some questions, please contact Yusuke Oda:

• @odashi_t on Twitter (faster than other methods)
• yus.takara (at) gmail.com