Poster Title:

A Search-based Chinese Word Segmentation Method

Authors:

• Xin-Jing Wang (IBM China Research Lab)
• Wen Liu (Huazhong University of Sciench and Technology)
• Yong Qin (IBM China Research Lab)

Abstract:

In this paper, we propose a novel Chinese word segmentation method which leverages the huge deposit of Web documents and search technology. It simultaneously solves ambiguous phrase boundary resolution and unknown word identification problems. Evaluations prove its effectiveness.