Tagging French -- comparing a statistical and a constraint-based method
<|reference_start|>Tagging French -- comparing a statistical and a constraint-based method: 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.<|reference_end|>
@article{chanod1995tagging,
    title={Tagging French -- comparing a statistical and a constraint-based method},
    author={Jean-Pierre Chanod and Pasi Tapanainen (Rank Xerox Research Centre,
  Grenoble Laboratory)},
    journal={Seventh Conference of the European Chapter of the ACL (EACL95).
  149-156. ACL, Dublin, 1995.},
    year={1995},
    number={see also technical report MLTT-016 at
  http://www.xerox.fr/grenoble/mltt/reports/mltt-016.ps},
    archivePrefix={arXiv},
    eprint={cmp-lg/9503003},
    primaryClass={cmp-lg cs.CL}
}