Dependency tree based Tibetan semantic dependency analysis

XIA Wuji; HUAQUE Cairang

doi:10.16511/j.cnki.qhdxxb.2019.26.003

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Journal of Tsinghua University(Science and Technology) ›› 2019, Vol. 59 ›› Issue (9) : 750-756. DOI: 10.16511/j.cnki.qhdxxb.2019.26.003

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Dependency tree based Tibetan semantic dependency analysis

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Abstract

Tibetan semantic dependence analysis is a deep semantic study based on Tibetan-dependent syntactic analysis. This paper starts from the shallow research of lexical analysis and syntactic analysis, and combines the characteristics of Tibetan grammatical structure and semantic unit to realize the semantic dependence analysis of Tibetan for the first time. Under the premise of formulating the Tibetan semantic dependency labeling specification and designing the Tibetan semantic dependency feature template, the perceptual machine is used to train the Tibetan semantic dependence analysis model. The experimental results show that the root accuracy, dependency arc accuracy, dependent arc type accuracy and complete accuracy of the model on manual labeling test corpus reached 89.56%, 78.63%, 71.67% and 32.32%, respectively, which confirmed that the model has good performance in Tibetan semantic dependence analysis tasks.

Key words

Tibetan semantics / dependency analysis / annotation specification / perceptron model

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XIA Wuji, HUAQUE Cairang. Dependency tree based Tibetan semantic dependency analysis[J]. Journal of Tsinghua University(Science and Technology). 2019, 59(9): 750-756 https://doi.org/10.16511/j.cnki.qhdxxb.2019.26.003

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