Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
Joint Authors
Wong, Derek F.
Chao, Lidia S.
Zhu, Ling
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhu, Ling& Wong, Derek F.& Chao, Lidia S.. 2014. Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049474
Modern Language Association (MLA)
Zhu, Ling…[et al.]. Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1049474
American Medical Association (AMA)
Zhu, Ling& Wong, Derek F.& Chao, Lidia S.. Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049474