Method of local grammar disambiguation in Chinese auto-processing

Ambiguity has been a major problem in Chinese auto-processing, and in particular the local grammar ambiguity takes a large proportion of Chinese ambiguity, therefore, which becomes a key target of the disambiguation mission. This paper proposes a local grammar disambiguation way, through which it transforms local grammar ambiguity to conflicts in grammar analysis table, and then uses partial semantic information to solve the conflicts, finally completes the task of disambiguation. The experiments show obvious improvement of local grammar analysis program working on identifying and deal with ambiguity in this way, and performance enhance of the context-free grammar analyzer.