The Best of Two Worlds: Cooperation of Statistical and Rule-Based Taggers for Czech

Abstract

Several hybrid disambiguation methods are described which combine the strength of hand-written disambiguation rules and statistical taggers. Three different statistical (HMM, Maximum-Entropy and Averaged Perceptron) taggers are used in a tagging experiment using Prague Dependency Treebank.

The results of the hybrid systems are better than any other method tried for Czech tagging so far.

Keywords

• best
• worlds
• cooperation
• statistical
• rule
• based
• taggers
• czech