Paper: Adaptive Chinese Word Segmentation

ACL ID P04-1059
Title Adaptive Chinese Word Segmentation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper presents a Chinese word segmen- tation system which can adapt to different domains and standards. We first present a sta- tistical framework where domain-specific words are identified in a unified approach to word segmentation based on linear models. We explore several features and describe how to create training data by sampling. We then describe a transformation-based learning method used to adapt our system to different word segmentation standards. Evaluation of the proposed system on five test sets with dif- ferent standards shows that the system achieves state- of-the-art performance on all of them.