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Chainer example codes for NLP

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

Chainer Official (GitHub)

Contents

  • 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)

Note that this repos does not include my_settings.py which is used only for specifying machine-dependent import paths.

Contact

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

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Example usages of Chainer for natural language processing.

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