#27345In this paper we compare two competing approaches to part-of-speech tagging , statistical and constraint-based disambiguation, using French as our test language.
model,36-2-E95-1021,ak
train and test the easy-to-implement
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statistical model
</term>
. We describe the two
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systems
#27396We 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 .
tech,4-4-E95-1021,ak
. The
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accuracy
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of the
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statistical method
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is reasonably good , comparable
#27413The accuracy of the statistical method is reasonably good, comparable to taggers for English.
tech,2-5-E95-1021,ak
</term>
for
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English
</term>
. But the
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constraint-based tagger
</term>
seems to be superior even with the
#27427But the constraint-based tagger seems to be superior even with the limited time we allowed ourselves for rule development.