doi: 10.7763/IJET.2011.V3.225
Concatenate the Most Likelihood Substring for Generating Vietnamese Sentence Reduction
Ha Nguyen Thi Thu
1
,
Quynh Nguyen Huu
2
- 1 Computer Science Department, Electric Power University, Hanoi, Vietnam
- 2 Faculty, Electric Power University, Hanoi, Vietnam
Abstract
Sentence Reduction is a valuable task in the framework of text summarization. In previous works, sentence is reduced by removing redudant words or phrases from original sentence and try to remain important information. In this paper we propose a new method that used Viterbi algorithm for find the most likelihood substring and then concatenate them to generate sentence reduction. Reduced sentence not only remain important information from original sentence, grammatically is ensured. The experimental results shown that, our method better than previous works and closely method that has done by human.
Keywords
- Important word
- Likehood substring
- Sen- tence reduction
- Vietnamese text
- Virtebi algorithm
How to Cite
Ha Nguyen Thi Thu and Quynh Nguyen Huu, "Concatenate the Most Likelihood Substring for Generating Vietnamese Sentence Reduction," International Journal of Engineering and Technology, vol. 3, no. 3, pp. 203-207, 2011. https://doi.org/ 10.7763/IJET.2011.V3.225
Copyright & License
Copyright © 2011 by the authors. 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 (CC BY 4.0).