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• W2250471514 abstract "Training higher-order conditional random fields is prohibitive for huge tag sets. We present an approximated conditional random field using coarse-to-fine decoding and early updating. We show that our implementation yields fast and accurate morphological taggers across six languages with different morphological properties and that across languages higher-order models give significant improvements over 1-order models." @default.
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• W2250471514 date "2013-10-01" @default.
• W2250471514 modified "2023-09-24" @default.
• W2250471514 title "Efficient Higher-Order CRFs for Morphological Tagging" @default.
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