于屏方1,2,杜家利3,4. 良构子串表在自然语言处理中的程序化应用以花园幽径句为例[J]. 中文信息学报, 2012, 26(5): 107-114.
YU Pingfang1,2 , DU Jiali3,4. Application of Well-formed Substring Table: A Case Study on Garden Path Sentence. , 2012, 26(5): 107-114.
Application of Well-formed Substring Table: A Case Study on Garden Path Sentence
YU Pingfang1,2 , DU Jiali3,4
1. School of Liberal Arts, Ludong University, Yantai, Shandong 264025, China; 2. Postdoctoral Research Station of Chinese Academy of Social Sciences, Beijing 100732, China; 3. School of Literature, Communication University of China, Beijing 100024, China; 4. School of Foreign Languages, Ludong University, Yantai, Shandong 264025, China
Abstract：Natural language processing is a branch of computational linguistics, and usually analyzes and understands natural language by means of computer technology. NS flowchart has the structural features of choice algorithm parsing and the well-formed substring table (WFST) possesses the characters of storing multi-structures during the parsing. Garden path sentence is a special syntactic model during the syntactic processing in which processing breakdown appears, correspondingly bringing the reconstruction of the original model. The NS algorithm-based WFST is useful for syntactic parsing of special phenomenon (e.g. garden path sentence) in natural language processing, thus making it possible for this programming method to be used in language application. Key wordsnatural language processing; well-formed substring table; NS flowchart; computational linguistics; garden path sentence
[1] 冯志伟. 自然语言的计算机处理[M]. 上海外语教育出版社,1996: 255-256. [2] Pritchett B. L. Garden path phenomena and the grammatical basis of language processing [J]. Language, 1988 (64): 539-576. [3] 顾琦一,程秀苹. 中国英语学习者的花园幽径句理解——与工作记忆容量和语言水平的相关研究[J]. 现代外语,2010(3). [4] Malaia E., R. B. Wilbur C. Weber-Fox. ERP evidence for telicity effects on syntactic processing in garden-path sentences[J]. Brain and Language, 2009, 108(3): 145-158. [5] Patson N. D., et al. Lingering misinterpretations in garden-path sentences: evidence from a paraphrasing task [J]. Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009, 35(1): 280-285. [6] Choi Youngon, John C. Trueswell. Children’s inability to recover from garden paths in a verb-final language: Evidence for developing control in sentence processing [J]. Journal of Experimental Child Psychology, 2010, 106(1): 41-61. [7] Bailey K. G. D., F. Ferreira. Disfluencies affect the parsing of garden-path sentences [J]. Journal of Memory and Language, 2003(49): 183-200. [8] 黄国营. 现代汉语的歧义短语[J]. 语言研究,1985,(1). [9] Dominey P. F., T. Inui, et al. Neural network processing of natural language: Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing[J]. Brain and Language, 2009,(109): 80-92. [10] Maxfield N. D., J. M. Lyon, et al. Disfluencies along the garden path: Brain electrophysiological evidence of disrupted sentence processing[J]. Brain and Language, 2009, 111(2): 86-100. [11] Frazier L., et al. Scale structure: processing minimum standard and maximum standard scalar adjectives [J]. Cognition, 2008,(106): 299-324. [12] Bateman J. A., J. Hois, et al. A linguistic ontology of space for natural language processing[J]. Artificial Intelligence, 2010(06). [13] 冯志伟. 花园幽径句的自动分析算法[J]. 当代语言学,2003,(4):55-65,96. [14] 杜家利, 于屏方. NLES对句层“花园幽径现象”的规避类型研究: 基于NV互动型的探讨[J]. 计算机工程与应用, 2008,(25):140-143,236. [15] 宗成庆,曹右琦,俞士汶. 中文信息处理60年[J]. 语言文字应用, 2009, (4):55-63. [16] 刘海涛. 汉语语义网络的统计特性[J]. 科学通报,2009,(14). [17] 高松,冯志伟. 基于依存树库的文本聚类研究[J]. 中文信息学报,2011,25(3):59-63.
2012, Vol. 26 
