Research on Longest Backward Segmentation for Context

摘要

Segmentation is the basis of Chinese information processing. This paper presents us the algorithm about longest backward context for Chinese word segmentation, this method does not require labeling or semantic information, also not mechanically segment words, but automatically find word errors by real-time backtracking. Compared with simple matching algorithm, this method enhances the accuracy, adaptability and reduces some redundancy.