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New Technology of Library and Information Service  2014, Vol. 30 Issue (3): 57-64    DOI: 10.11925/infotech.1003-3513.2014.03.09
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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
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[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.

Key wordsMandarin Grammar Online (ManGO)      Grammar engineering      Head-driven Phrase Structure Grammar (HPSG)      Natural Language Processing (NLP)     
Received: 22 November 2013      Published: 15 April 2014
:  H087  

Cite this article:

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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