A Conditional Random Field-based Traditional Chinese Base-Phrase Parser for SIGHAN Bake-off 2012 Evaluation
Yih‐Ru Wang, Yuan‐Fu Liao · 2015
This paper describes our system for the sub-task 1 of traditional Chinese Parsing of SIGHAN Bake-off 2012 evaluation. Since this research mainly focuses on speech recognition and synthesis applications, only base phrase chunking was implemented using three Condi-tional Random Field (CRF) modules, includ-ing word segmentation, POS tagging and base phrase chunking sub-systems. The official evaluation results show that the system achieved 0.5038 (0.7210/0.387) micro- and 0.5301 (0.7343/0.4147) macro-averaging F1 (precision/recall) rates on full sentence parsing task. However, if only the performance of base phrase chunking was considered, the F-measures may be around 0.70 and is somehow good enough for speech recognition and syn-thesis applications. 1