ManGO：Grammar Engineering for Deep Linguistic Processing
Yang Chunlei1, Dan Flickinger2
1 College of English Language and Literature, Shanghai International Studies University, Shanghai 201600, China;
2 The Center for the Study of Language and Information (CSLI), Stanford University, Stanford 94305, USA
[Objective] This article contributes to the development of ManGO (Mandarin Grammar Online) for deep linguistic processing. [Context] On the platform of LKB (the Linguistic Knowledge Builder) and based on Grammar Matrix, ManGO is developed in the environment of DELPH-IN (Deep Linguistic Processing with HPSG Initiative). The frameworks of its syntactic and semantic analysis are HPSG (Head-driven Phrase Structure Grammar) and MRS (Minimal Recursion Semantics) respectively. ManGO lays a solid foundation for further resource grammar development and commercial application. [Methods] First, linguistic knowledge is formalized according to systematic Ontological studies. Then, the computational implementation of ManGO goes through grammar customization, creation of a Chinese MRS test suite, lexicon building, definition of grammar rules and MRS representation. [Results] ManGO covers nearly all the major Chinese word types and grammar phenomona, and fully covers the Chinese MRS test suite. [Conclusions] ManGO is one of the earliest medium-size computational grammars of Chinese. It serves as the bridge and effective carrier of the interdisciplinary studies across formal grammar theory and computational linguistics.
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, 30(3): 57-64.
Yang Chunlei, Dan Flickinger. ManGO：Grammar Engineering for Deep Linguistic Processing. New Technology of Library and Information Service, 2014, 30(3): 57-64.
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