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New Technology of Library and Information Service  2012, Vol. Issue (10): 35-41    DOI: 10.11925/infotech.1003-3513.2012.10.06
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Mandarin Text Representation Based on Minimal Recursion Semantics——Illustrate by Quantitative Noun Phrases
Zeng Shaoqin, Wang Huilin, Zhang Yinsheng
Institute of Scientific & Technical Information of China, Beijing 100038, China
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Abstract  This paper adopts a new framework named Minimal Recursion Semantics (MRS) to represent sentence meaning. Taking Chinese Quantitative Noun Phrases(QNP) as main analysis object according to MRS’s characteristics,the paper designs a suitable MRS representation for Chinese QNP and shows a reasonable HPSG analysis of QNP.It also implements a grammar analysis experiment, and the result shows the grammer is basically applicable to Chinese QNP representation.
Key wordsMRS      Text meaning representation      NLP     
Received: 17 August 2012      Published: 24 January 2013



Cite this article:

Zeng Shaoqin, Wang Huilin, Zhang Yinsheng. Mandarin Text Representation Based on Minimal Recursion Semantics——Illustrate by Quantitative Noun Phrases. New Technology of Library and Information Service, 2012, (10): 35-41.

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