Statistical and Constraint-based taggers for French.
Jean-Pierre Chanod, Pasi Tapanainen
In this paper we compare two competing approaches to part-of-speech tagging, statistical and constraint-based
disambiguation, using French as our test language.
We imposed a time limit on our experiment: the amount of time spent on the design of our constraint system
was about the same as the time we used to train and test the easy-to-implement statistical model. We
describe the two systems and compare the results. The accuracy of the statistical method is reasonably good,
comparable to taggers for English. But the constraint-based tagger seems to be superior even with the limited
time we allowed ourselves for rule development.
Seventh Conference of the European Chapter of the ACL (EACL'95). pages 149-156. Association for
Computational Linguistics, Dublin, 1995.