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Compilation of weighted finite-state transducers from decision trees
1996
Proceedings of the 34th annual meeting on Association for Computational Linguistics -
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an input string, and the decision at each tree node is stateable in terms of regular expressions on the input string. Each leaf node can then be treated as a separate rule where the left and right contexts are constructable from the decisions made traversing the tree from the root to the leaf. These rules are compiled
doi:10.3115/981863.981892
dblp:conf/acl/SproatR96
fatcat:mxvlcdktsbdkllm4hq7ntri6hy