Fast and Accurate Neural Word Segmentation for Chinese

Deng Cai; Hai Zhao; Zhisong Zhang; Yuan Xin; Yongjian Wu; Feiyue Huang

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arXiv · 1704.07047

Fast and Accurate Neural Word Segmentation for Chinese

Deng Cai·Hai Zhao·Zhisong Zhang·Yuan Xin·Yongjian Wu·Feiyue Huang

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Abstract

Neural models with minimal feature engineering have achieved competitive performance against traditional methods for the task of Chinese word segmentation. However, both training and working procedures of the current neural models are computationally inefficient. This paper presents a greedy neural word segmenter with balanced word and character embedding inputs to alleviate the existing drawbacks. Our segmenter is truly end-to-end, capable of performing segmentation much faster and even more accurate than state-of-the-art neural models on Chinese benchmark datasets.

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Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu, Feiyue Huang. 2017-04-24. Fast and Accurate Neural Word Segmentation for Chinese. https://arxiv.org/abs/1704.07047

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