Yuejie Zhang, Lei Cen, Qing-Xin Wu, Cheng Jin, Tao Zhang
{"title":"Fusion of reverse hierarchical alignment for Web-based English-Chinese bilingual dictionary construction","authors":"Yuejie Zhang, Lei Cen, Qing-Xin Wu, Cheng Jin, Tao Zhang","doi":"10.1109/ICMLC.2010.5580891","DOIUrl":null,"url":null,"abstract":"In this paper, a new Web-based English-Chinese bilingual dictionary construction pattern is established on the basis of the fusion of the reverse hierarchical alignment. On the one hand, English-Chinese bilingual corpora are collected based on Web mining. On the other hand, unlike the traditional alignment manner from sentence level to word level, the reverse alignment and verification from word level to sentence level is implemented by combining K-vec-based word-level alignment algorithm and Champollion-based sentence-level alignment algorithm. The experimental results show that the more ideal effect is obtained in the manner of “word level” −> “sentence level” reverse alignment dictionary construction.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"47 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a new Web-based English-Chinese bilingual dictionary construction pattern is established on the basis of the fusion of the reverse hierarchical alignment. On the one hand, English-Chinese bilingual corpora are collected based on Web mining. On the other hand, unlike the traditional alignment manner from sentence level to word level, the reverse alignment and verification from word level to sentence level is implemented by combining K-vec-based word-level alignment algorithm and Champollion-based sentence-level alignment algorithm. The experimental results show that the more ideal effect is obtained in the manner of “word level” −> “sentence level” reverse alignment dictionary construction.