Before revision:  When benchmarked on MSR corpus under closed test condition without additional data, our method achieves 97.6\% F1, which is on a par with the state of the art  .
After revision:  Our method is generic for word segmentation, without the need for feature engineering or model implementation. In the closed test with constrained data, our method achieves 97.6\% F1, which is on a par with the state of the art .