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Tagging French - comparing a statistical and a constraint-based method

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.
Proc. From Texts To Tags: Issues In Multilingual Language Analysis, EACL SIGDAT workshop. Dublin, 1995.


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