Long Short-Term Memory Neural Networks for Chinese Word Segmentation

  title={Long Short-Term Memory Neural Networks for Chinese Word Segmentation},
  author={Xinchi Chen and Xipeng Qiu and Chenxi Zhu and Pengfei Liu and Xuanjing Huang},
Currently most of state-of-the-art methods for Chinese word segmentation are based on supervised learning, whose features aremostly extracted from a local context. Thesemethods cannot utilize the long distance information which is also crucial for word segmentation. In this paper, we propose a novel neural network model for Chinese word segmentation, which adopts the long short-term memory (LSTM) neural network to keep the previous important information inmemory cell and avoids the limit of… CONTINUE READING
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