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| 基于词向量的藏文词性标注方法研究 | |
| 引用本文： | 郑亚楠,珠 杰. 基于词向量的藏文词性标注方法研究[J]. 中文信息学报, 2017, 31(1): 112-117 |
| 作者姓名： | 郑亚楠 珠 杰 |
| 作者单位： | 1. 西藏大学 计算机科学与技术系,西藏 拉萨 850000; 2. 西南交通大学 信息科学与技术学院,四川 成都 610031 |
| 基金项目： | 国家自然基金(61262058 );国家社会科学基金(15ZDB11);西藏高校青年教师创新支持计划项目(QC2005_18);高原学者计划—珠杰 |
| 摘 要： | 藏文词性标注是藏文信息处理的基础,在藏文文本分类、自动检索、机器翻译等领域有广泛的应用。该文针对藏文语料匮乏,人工标注费时费力等问题,提出一种基于词向量模型的词性标注方法和相应算法,该方法首先利用词向量的语义近似计算功能,扩展标注词典;其次结合语义近似计算和标注词典,完成词性标注。实验结果表明,该方法能够快速有效地扩大了标注词典规模,并能取得较好的标注结果。 |
| 关 键 词： | 词向量 藏文 词性标注 |
A Method of Tibetan POS Tagging Based on Distributed Representation |
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| ZHENG Yanan,ZHU Jie. A Method of Tibetan POS Tagging Based on Distributed Representation[J]. Journal of Chinese Information Processing, 2017, 31(1): 112-117 | |
| Authors: | ZHENG Yanan ZHU Jie |
| Affiliation: | 1. Department of Computer Science, Tibetan University, Tibetan, Lhasa 850000, China; 2. School of Information Science and Technology, Southwest Jiaotong University, Sichuan, Chengdu 610031,China |
| Abstract: | Part of Speech (POS) tagging is fundamental to Tibetan processing, with a wide applications in Tibetan text classification, information retrieval, machine translation and other fields. This paper proposes a method of Tibetan POS tagging based on distributed representation. First, this method extends the dictionary by semantic approximation according to the distributed representation. Then the POS tagging is completed according to the dictionary and the semantic similarity. Experimental results show that this method can expand the dictionary with a better result. |
| Keywords: | distributed representation Tibetan POS |
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