Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
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,...
| الحاوية / القاعدة: | The Scientific World Journal |
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| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Wiley
2014-01-01
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| الوصول للمادة أونلاين: | http://dx.doi.org/10.1155/2014/401943 |
| الملخص: | 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. |
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| تدمد: | 2356-6140 1537-744X |