Sixth SIGHAN Workshop on Chinese Language Processing BUPT Systems in the SIGHAN Bakeoff 2007

Speech(POS) are three important Chinese Corpus annotation tasks. With the great improvement in these annotations on some corpus, now, the robustness, a capability of keeping good performances for a system by automatically fitting the different corpus and standards, become a focal problem. This paper introduces the work on robustness of WS and POS annotation systems from Beijing University of Posts and Telecommunications(BUPT), and two NER systems. The WS system combines a basic WS tagger with an adaptor used to fit a specific standard given. POS taggers are built for different standards under a two step frame, both steps use ME but with incremental features. A multiple knowledge source system and a less knowledge Conditional Random Field (CRF) based systems are used for NER. Experiments show that our WS and POS systems are robust.