Something Borrowed, Something Blue: Rule-based Combination of POS Taggers
Lars Borin · 2000
Linguistically annotated text resources are still scarce for many languages and for many text types, mainly because their creation represents a major investment of work and time.For this reason, it is worthwhile to investigate ways of reusing existing resources in novel ways.In this paper, we investigate how off-the-shelf part of speech (POS) taggers can be combined to better cope with text material of a type on which they were not trained, and for which there are no readily available training corpora.We indicate-using freely available taggers for German (although the method we describe is not language-dependent)-how such taggers can be combined by using linguistically motivated rules so that the tagging accuracy of the combination exceeds that of the best of the individual taggers.