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- W2371519299 abstract "Tibetan automatic word segmentation(TAWS) is an important problem in Tibetan information processing,while abbreviated word recognition is one of the key and most difficult problems in TAWS.All the existing methods of Tibetan abbreviated word recognition are rule-based approaches,which need vocabulary support.In this paper,we propose a method based on conditional random field(CRF) for abbreviated word recognition,and then implement a TAWS system with CRF.The experimental results show that our abbreviated word recognition method is fast and effective and can be combined easily with the segmentation model based on conditional random fields.This significantly increases the effect of the Tibetan word segmentation." @default.
- W2371519299 created "2016-06-24" @default.
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- W2371519299 date "2013-01-01" @default.
- W2371519299 modified "2023-09-22" @default.
- W2371519299 title "Research and Implementation of Tibetan Automatic Word Segmentation Based on Conditional Random Field" @default.
- W2371519299 hasPublicationYear "2013" @default.
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