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The Scientific World Journal
Volume 2014, Article ID 401943, 10 pages
http://dx.doi.org/10.1155/2014/401943
Research Article

Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus

Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory, Department of Computer and Information Science, University of Macau, Macau

Received 30 August 2013; Accepted 8 December 2013; Published 19 March 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Ling Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.