An Integrated Approach for Automatic Construction of Bilingual Chinese-English WordNet

Authors:
Renjie Xu;Zhiqiang Gao;Yingji Pan;Yuzhong Qu;Zhisheng Huang
Affiliations:
School of Computer Science and Engineering, Southeast University, China;School of Computer Science and Engineering, Southeast University, China;School of Computer Science and Engineering, Southeast University, China;School of Computer Science and Engineering, Southeast University, China;Department of Computer Science, Vrije Universiteit Amsterdam, The Netherlands
Venue:
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Year:
2008

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Abstract

This paper compares various approaches for constructing Chinese-English bilingual WordNet. First, we implement three independent approaches that translate English WordNet to Chinese WordNet automatically, including Minimum Distance (MDA), Intersection (IA) and Words Co-occurrence (WCA). Minimum Distance compares the gloss of synset with the explanations of words from dictionaries. Intersection chooses the intersection part of Chinese in a synset. Words Co-occurrence counts the results of Chinese and English words from Google. Then, we integrate these three approaches into an integrated one, which is named MIWA. Experimental results show that the integrated approach MIWA has better performance: F-measure reaches 0.615, which is higher than that of each independent one.