Phrase Alignment Based on Head-Phrase Extending

Zhang Chunxiang, Li Sheng, and Zhao Tiejun

Journal of Computer Research and Development > 2006 > 43(9): 1658-1665.

Zhang Chunxiang, Li Sheng, and Zhao Tiejun. Phrase Alignment Based on Head-Phrase Extending[J]. Journal of Computer Research and Development, 2006, 43(9): 1658-1665.

Citation:

Zhang Chunxiang, Li Sheng, and Zhao Tiejun. Phrase Alignment Based on Head-Phrase Extending[J]. Journal of Computer Research and Development, 2006, 43(9): 1658-1665.

Citation:

Zhang Chunxiang, Li Sheng, and Zhao Tiejun. Phrase Alignment Based on Head-Phrase Extending[J]. Journal of Computer Research and Development, 2006, 43(9): 1658-1665.

PDF (623 KB)

Phrase Alignment Based on Head-Phrase Extending

Zhang Chunxiang, Li Sheng, and Zhao Tiejun

(MOE-MS Key Laboratory of Natural Language Processing and Speech, School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001)

More Information

Published Date: September 14, 2006

Graphical Abstract

Abstract

Abstract

Phrase equivalence pair is very useful for bilingual lexicography, machine translation and crossing-language information retrieval. In this paper, a new method of phrase alignment is proposed, where translation head-phrase is obtained according to dictionary-based word alignment which is very reliable, and statistical translation boundary is determined based on the translation extending reliability. All candidate translations of source language phrase are extracted by combining translation head-phrase with statistical translation boundary. A linear combination model is applied to evaluate all candidate translations of source language phrase and the most probable one is selected. At the same time, a greedy algorithm is used to eliminate the crossing-conflicts between translation boundaries of source language phrases. Experimental results show that the new method achieves 82.76% at precision, which is better than other approaches in open test.
- phrase equivalence pair,
- translation head-phrase,
- greedy algorithm

FullText(HTML)

References (0)

[1]	Wu Jianhui, Zhang Jing, Li Renfa, Liu Zhaohua. A Multi-Subpopulation PSO Immune Algorithm and Its Application on Function Optimization[J]. Journal of Computer Research and Development, 2012, 49(9): 1883-1898.
[2]	Wang Bin. A Discrete Particle Swarm Optimization-based Algorithm for Polygonal Approximation of Digital Curves[J]. Journal of Computer Research and Development, 2010, 47(11): 1886-1892.
[3]	Jie Jing, Zeng Jianchao, Han Chongzhao. Self-Organized Particle Swarm Optimization Based on Feedback Control of Diversity[J]. Journal of Computer Research and Development, 2008, 45(3): 464-471.
[4]	Hu Jianxiu and Zeng Jianchao. A Two-Order Particle Swarm Optimization Model[J]. Journal of Computer Research and Development, 2007, 44(11): 1825-1831.
[5]	Ma Ming, Zhou Chunguang, Zhang Libiao, Ma Jie. Fuzzy Neural Network Optimization by a Multi-Objective Particle Swarm Optimization Algorithm[J]. Journal of Computer Research and Development, 2006, 43(12): 2104-2109.
[6]	Cui Zhihua and Zeng Jianchao. Modified Particle Swarm Optimization Based on Differential Model[J]. Journal of Computer Research and Development, 2006, 43(4): 646-653.
[7]	Zeng Jianchao and Cui Zhihua. A New Unified Model of Particle Swarm Optimization and Its Theoretical Analysis[J]. Journal of Computer Research and Development, 2006, 43(1): 96-100.
[8]	Dou Quansheng, Zhou Chunguang, Xu Zhongyu, Pan Guanyu. Swarm-Core Evolutionary Particle Swarm Optimization in Dynamic Optimization Environments[J]. Journal of Computer Research and Development, 2006, 43(1): 89-95.
[9]	Liu Anfeng, Chen Zhigang, Long Guoping, and Zeng Zhiwen. A Resource Optimizing Scheduling Algorithm of Differentiated Service of Double Minimum Balance in Web Clusters[J]. Journal of Computer Research and Development, 2005, 42(11): 1969-1976.
[10]	Chen Hongzhou, Gu Guochang, and Kang Wangxing. A Sentient Particle Swarm Optimization[J]. Journal of Computer Research and Development, 2005, 42(8): 1299-1305.