Various neural network architectures have been explored for Chinese word segmentation to reduce the burden of manual feature engineering.
character-based neural models have been developed to model the task as a sequence labeling problem, starting with earlier work by (Zheng et al., 2013) and (Mansur et al., 2013), which applied feed-forward neural networks.