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现代图书情报技术  2016, Vol. 32 Issue (7-8): 129-136    DOI: 10.11925/infotech.1003-3513.2016.07.16
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基于HPSG的汉语词库和语法规则系统构建*
杨春雷()
上海外国语大学英语学院 上海 201600
Building Online System for Chinese Lexicon and Grammar
Yang Chunlei()
College of English Studies, Shanghai International Studies University, Shanghai 201600, China
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摘要 

目的】探讨开发汉语可计算语法的理论基础和实践经验。【方法】以HPSG理论为句法框架, 以MRS为语义描写手段, 以“汉语普通话在线语法”(简称“汉构”)的开发过程为例, 重点研究通过构建词库和规则层级, 对汉语特殊结构进行计算实现。【结果】“汉构”的开发证明, HPSG非常适合作为汉语可计算语法开发的理论框架。【局限】“汉构”仍在继续开发中, 其覆盖率暂未接受大规模自然语料的检测。【结论】“汉构”可作为沟通形式语言学和计算语言学的桥梁和开发大规模资源型语法的基础。

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杨春雷
关键词 HPSG汉语普通话在线语法(汉构)语法工程自然语言处理    
Abstract

[Objective] This paper explores the theoretical foundation and practical experience of buidling a computational Chinese grammar system. [Methods] This study discussed the development process of the Mandarin Grammar Online (ManGO), an Head-driven Phrase Structure Grammar (HPSG) system with Minimal Recursion Semantics. It built the lexicon and hierarchy rules for the idiosyncratic structures of the Chinese grammar. [Results] The successful development of the ManGO system showed that the HPSG was an ideal theoretical framework for the Chinese computational grammar applications. [Limitations] ManGO was still underdeveloped, and it was not able to examine this system’s coverage with large-scale natural language data. [Conclusions] ManGO connects the theories of formal and computational linguistics, therefore, it becomes the foundation to develop large scale resource grammar.

Key wordsHPSG    Mandarin Grammar Online (ManGO)    Grammar engineering    Natural Language Processing
收稿日期: 2016-01-25     
基金资助:*本文系国家社会科学基金规划一般项目“类型学视野下的汉语短语结构语法及其计算现实研究”(项目编号:16BYY136)、教育部人文社会科学研究规划基金项目“面向深层语言处理的汉语短语结构语法”(项目编号:13YJC740118)和上海外国语大学规划基金项目“语言量化现象的多维度研究”(项目编号:2013XJGH023)的研究成果之一
引用本文:   
杨春雷. 基于HPSG的汉语词库和语法规则系统构建*[J]. 现代图书情报技术, 2016, 32(7-8): 129-136.
Yang Chunlei. Building Online System for Chinese Lexicon and Grammar. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2016.07.16.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.07.16
[1] Hutchins J.Latest Developments in Machine Translation Technology: Beginning a New Era in MT Research [C]. In: Proceedings of the International Cooperation for Global Communication, Kobe, Japan. Tokyo: AAMT, 1993: 11-34.
[2] Bender E M, Flickinger D, Oepen S.Grammar Engineering for Linguistic Hypothesis Testing[C]. In: Proceedings of the Texas Linguistics Society X Conference: Computational Linguistics for Less-studied Languages. 2008: 16-36.
[3] Oepen S, Flickinger D, Tsujii J, et al.Collaborative Language Engineering: A Case Study in Efficient Grammar-based Processing[M]. CSLI Publications, 2002.
[4] Bender E M, Drellishak S, Fokkens A, et al.Grammar Customization[J]. Research on Language and Computation, 2010, 8(1): 23-72.
[5] Bender E M.Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax[J]. Synthesis Lectures on Human Language Technologies, 2013, 6(3): 1-184.
[6] 陆俭明. 汉语言文字应用面面观[J]. 语言文字应用, 2000(2): 4-8.
[6] (Lu Jianming.Aspects of Language Use in China[J]. Applied Linguistics, 2000(2): 4-8.)
[7] 冯志伟. 自然语言处理的学科定位[J]. 解放军外国语学院学报, 2005, 28(3): 1-8.
[7] (Feng Zhiwei.Academic Position of Natural Language Processing[J]. Journal of PLA University of Foreign Languages, 2005, 28(3): 1-8.)
[8] 杨春雷, Dan Flickinger.汉构: 面向深层语言处理的语法工程[J]. 现代图书情报技术, 2014(3): 57-64.
[8] (Yang Chunlei, Dan Flickinger.ManGo: Grammar Engineering for Deep Linguistic Processing[J]. New Technology of Library and Information Service, 2014(3): 57-64.)
[9] Pollard C, Sag I.Information-based Syntax and Semantics, vol. 1: Fundamentals[M]. CSLI Publications, 1987.
[10] Pollard C, Sag I.Head-driven Phrase Structure Grammar [M]. University of Chicago Press, 1994.
[11] Sag I A, Wasow T, Bender E M.Syntactic Theory: A Formal Introduction[M]. CSLI Publications, 2003.
[12] Boas H C, Sag I.Sign-based Construction Grammar[M]. CSLI Publications, 2012.
[13] Kim J B.The Grammar of Negation: A Constraint-based Approach[M]. CSLI Publications, 2000.
[14] 方立, 吴平. 中心语驱动短语结构语法评介[J]. 语言教学与研究, 2003(5): 31-43.
[14] (Fang Li, Wu Ping.A Review of Head-driven Phrase Structure Grammar[J]. Language Teaching and Linguistic Studies, 2003(5): 31-43.)
[15] 陆俭明. 句法语义接口问题[J]. 外国语, 2006(3): 30-35.
[15] (Lu Jianming.On Interface Between Syntax and Semantics[J]. Journal of Foreign Languages, 2006(3): 30-35.)
[16] Backofen R, Becker T, Calder J, et al.The EAGLES Formalisms Working Group-Final Report [C]. In: Suresh Manandhar, Anne-Marie Mineur, and Gertjan. 1996.
[17] 曾少勤, 王惠临, 张寅生.汉语文本的最小递归语义表示研究——以名词性量化短语为例[J]. 现代图书情报技术, 2012(10): 35-41.
[17] (Zeng Shaoqin, Wang Huilin, Zhang Yinsheng.Mandarin Text Representation Based on Minimal Recursion Semantics - Illustrated by Quantitative Noun Phrases[J]. New Technology of Library and Information Service, 2012(10): 35-41.)
[18] Copestake A, Flickinger D, Pollard C, et al.Minimal Recursion Semantics: An Introduction[J]. Research on Language and Computation, 2005, 3(2): 281-332.
[19] Kim J B, Yang J.Korean Phrase Structure Grammar and Its Implementations into the LKB System [C]. In: Proceedings of the 17th Pacific Asia Conference on Language, Information, and Computation. 2003: 88-97.
[20] Fokkens A, Avgustinova T, Zhang Y.CLIMB Grammars: Three Projects Using Metagrammar Engineering [C]. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC’12), Instanbul, Turkey. 2012: 1672-1679.
[21] Fan Z, Song S, Bond F.An HPSG-based Shared-grammar for the Chinese Languages: Zhong[|] [C]. In: Proceedings of the Grammar Engineering across Frameworks (GEAF) 2015 Workshop. 2015: 17-24.
[22] Fan Z, Song S, Bond F.Building Zhong, a Chinese HPSG Shared-Grammar [C]. In: Proceedings of the 22nd International Conference on Head-Driven Phrase Structure Grammar. 2015: 96-109.
[23] 杨春雷. 兼语式的深层语言处理: 从语言学设计到计算实现[J]. 外国语: 上海外国语大学学报, 2013, 36(3): 50-59.
[23] (Yang Chunlei.Deep Linguistic Processing of Pivotal Construction: From Linguistic Design to Implementation[J]. Journal of Foreign Languages, 2013, 36(3): 50-59.)
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