Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus. (19th March 2014)

• Record Type: Journal Article
• Authors: Zhu, Ling; Wong, Derek F.; Chao, Lidia S.
• Other Names: Shu J. Academic Editor.; Yu F. Academic Editor.
• Is Part Of: TheScientificWorldjournal. Volume 2014(2014)
• Publication Date: 2014-03-19
• Subjects: Science -- Periodicals; Technology -- Periodicals; Medicine -- Periodicals; 505
• DOI: 10.1155/2014/401943
• Languages: English
• ISSNs: 2356-6140

Abstract

Abstract : This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label propagation for bilingual knowledge transfer, along with an application of using the projected labels as features in unsupervised model, contributes to a better performance. The experimental comparisons with the state-of-the-art algorithms show that the proposed approach is able to achieve impressive higher accuracy in terms of F -score.