doi: 10.4304/jsw.7.2.332-338
Phrase Alignment Based on Combination of Multiple Strategies
2College of Computer Science and Technology, Harbin University of Science and Technology, Harbin, 150080, China
3College of Information and Communication Engineering, Harbin Engineering University, Harbin, 150080, China
3Computer Center, Harbin University of Science and Technology, Harbin, 150080, China
3School of Computer Science and Technology, Heilongjiang University, Harbin, 150080, China
Abstract—Phrase translation pairs are very useful for bilingual lexicography, machine translation system, crosslingual information retrieval and many applications in natural language processing. There is phrase boundary information in parsing trees of sentences. Linguistics knowledge in translation lexicon and semantic lexicon, and statistics results from bilingual corpus can be used to align Chinese words and English words, which will provide alignment information for extracting phrase translation pairs. In this paper, we propose a new method to extract phrase translation pairs based on aligning Chinese words and English words in bilingual corpus with multiple alignment strategies. Experimental results indicate that the extracted phrase translation pairs achieve 63.07% at accuracy, when the new method is applied.
Index Terms—phrase translation pairs, natural language processing, linguistics knowledge, bilingual corpus, multiple alignment strategies
Cite: Chun-Xiang Zhang, Xue-Yao Gao,Zhi-Mao Lu, Da-Song Sun,and Yong Liu "Phrase Alignment Based on Combination of Multiple Strategies," Journal of Software vol. 7, no. 2, pp. 332-338, 2012.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
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