Research on Automatic Tagging of Parts of Speech for Tibetan Texts Based on the Condition of Random Fields

Zhi Qiang Wu; Hong Zhi Yu; Shu Hui Wan

doi:10.4028/www.scientific.net/AMM.519-520.784

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Research on Automatic Tagging of Parts of Speech...

Research on Automatic Tagging of Parts of Speech for Tibetan Texts Based on the Condition of Random Fields

Abstract:

It’s a basic work for Tibetan information processing to tag the Tibetan parts of speech,the results can be used in machine translation, speech synthesis and so on. By studying the Tibetan language grammar and the classification of Tibetan parts of speech, established the Tibetan parts of speech tagging sets, and tagged the corpus, used the CRFs to solve the problem that automatic tagging of Tibetan parts of speech, the experimental results show that in the closed test set, part-of-speech tagging accuracy is 94.2%, and in the opening set, the accuracy is 91.5%.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

784-787

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.784

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Cite this paper

Online since:

February 2014

Authors:

Zhi Qiang Wu*, Hong Zhi Yu, Shu Hui Wan

Keywords:

Automatic, Condition of Random Fields, Part of Speech, Tagging, Tibetan

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* - Corresponding Author

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