Semi-Automatic Building Tibetan Treebank Based on Word-Pair Dependency Classification
Semi-Automatic Building Tibetan Treebank Based on Word-Pair Dependency Classification
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发表时间：
2013
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通讯作者：
Hua Quecairan
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作者：
Hua Quecairan
根据依存句法理论给出了藏文类型依存关系及其层次结构，分析了构建藏文依存树库的一些问题。提出了一种半自动构建依存关系树的模式，包括基于藏语语法的词对依存分类模型和丰富特征模板的依存边缘标注模型。并实现了可视化工具，用于构建和校对1.1万个句子树库。在基线系统上实验结果表明，依存关系识别准确率提高了3%。
According dependency syntactic theory this paper gave Tibetan typed dependencies and its hierarchy,and then we analyzed some problems in building Tibetan dependency Treebank.We proposed a mode to construct dependency tree semi-automatically,it includes word-pairs dependency classification model and dependency edges annotation model with rich features template based on Tibetan language grammar.And we implemented visualized tool which used to build and proofreading 11thousand sentences Treebank.On the baseline system the experimental results show that,the dependency recognition accuracy obtains an improvement of 3%.