Dependency tree based Tibetan semantic dependency analysis
XIA Wuji1,2, HUAQUE Cairang1
1. Tibetan Information Processing Key Laboratory of Ministry of Education, Qinghai Normal University, Xining 810008, China; 2. Normal College for Nationalities, Qinghai Normal University, Xining 810008, China
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.
[1] 李亚超, 加羊吉, 江静, 等. 融合无监督特征的藏文分词方法研究[J]. 中文信息学报, 2017, 31(2):71-75. LI Y C, JIA Y J, JIANG J, et al. Study on fusion of unsupervised features for Tibetan word segmentation[J]. Journal of Chinese Information Processing, 2017, 31(2):71-75. (in Chinese) [2] 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. ZHENG Y N, ZHU J. A method of tibetan POS tagging based on distributed representation[J]. Journal of Chinese Information Processing, 2017, 31(1):112-117. (in Chinese) [3] 华却才让, 赵海兴. 基于判别式的藏语依存句法分析[J]. 计算机工程, 2013, 39(4):300-304. HUA QUE C R, ZHAO H X. Tibetan text dependency syntactic analysis based on discriminant[J]. Computer Engineering, 2013, 39(4):300-304. (in Chinese) [4] 华却才让, 赵海兴. 藏文复合句的依存句法分析[J]. 中文信息学报, 2016, 30(6):224-229. HUA QUE C R, ZHAO H X. Dependency parsing of tibetan compound sentence[J]. Journal of Chinese Information Processing, 2016, 30(6):224-229. (in Chinese) [5] 李明琴, 李娟子, 王作英等.中文语义依存关系分析的统计模型[J].计算机学报, 2004, 27(12):1679-1687.LI M Q, LI J X, WANG Z Y, et al. A statistical model for parsing semantic dependency relations in a Chinese sentence[J]. Chinese Journal of Computers, 2004, 27(12):1679-1687. (in Chinese) [6] 周亮俊, 向阳.基于语句压缩的中文中文语义依存分析[J].计算机应用, 2017, 37(S1):266-269. ZHOU L J, XIANG Y. Chinese semantic dependency parsing based on sentence compression[J]. Journal of Computer Applications, 2017, 37(S1):266-269. (in Chinese) [7] LI Y M, SH Y Q. Annotating Chinese noun phrases based on semantic dependency graph[J]. International Journal of Asian Language Processing, 2017, 27(1):47-60. [8] HAO P, THOMSON S, SMITH N A. Deep multitask learning for semantic dependency parsing[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics.Vancouver, Canada, 2017:2037-2048. [9] 丁宇. 基于依存图的中文语义分析[D]. 哈尔滨:哈尔滨工业大学, 2014. DING Y. Dependency-graph based Chinese semantic parsing[D]. Harbin:Harbin Institute of Technology, 2014. (in Chinese) [10] 扎西加, 多拉. 藏语依存树库构建的理论与方法探析[J]. 西藏大学学报(自然科学版), 2015, 30(2):76-83. GYAL T, DUO L. Theory and method of Tibetan dependency treebank construction[J]. Journal of Tibetan University, 2015, 30(2):76-83. (in Chinese) [11] 祁坤钰. 基于依存关系的藏文语义角色标注研究[J]. 西北民族大学学报(哲学社会科学版), 2014(1):139-143. QI K Y. Research on tibetan semantic role labeling based on dependency[J]. Journal of Northwest University for Nationalities (Philosophy and Social Science), 2014(1):139-143. (in Chinese) [12] SUN W, CAO J J, WAN X J. Semantic dependency parsing via book embedding[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. Vancouver, Canada. 2017. [13] Robinson. Dependency structures and transformation rules[J].Language, 1970.46(2):259-285. [14] 格桑居冕. 实用藏文文法[M]. 成都:四川民族出版社, 1987. GE S J M. Practical Tibetan grammar[M]. Chengdu:Sichuan National Publishing House, 1987. (in Chinese) [15] PARK K M, HWANG Y S, RIM H C. Two-phase semantic role labeling based on support vector machines[J]. Proceedings of Conll, 2004:126-129. [16] 车万翔, 张梅山, 刘挺. 基于主动学习的中文依存句法分析[J]. 中文信息学报, 2012, 26(2):18-22. CHE W X, ZHANG M S, LIU T. Active learning for Chinese dependency parsing[J]. Journal of Chinese Information Processing, 2012, 26(2):18-22. (in Chinese) [17] MCDONALD R, LERMAN K, PEREIRA F. Multilingual dependency analysis with a two-stage discriminative parser[C]//Proceedings of the Tenth Conference on Computational Natural Language Learning. New York, USA, 2006:216-220.