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Two learning algorithms for learning the similarity information of basic phonemic matching units based on training examples are investigated. By applying the proposed named entity matching model, a mining system is developed for discovering new named entity translations from daily Web news. The system is able to discover new name translations that cannot be found in the existing bilingual dictionary.<\/jats:p>","DOI":"10.1145\/1198296.1198298","type":"journal-article","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T19:20:08Z","timestamp":1175800808000},"page":"2","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Named entity translation matching and learning"],"prefix":"10.1145","volume":"25","author":[{"given":"Wai","family":"Lam","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shing-Kit","family":"Chan","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruizhang","family":"Huang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2007,2]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Network Flows: Theory, Algorithms, and Applications","author":"Ahuja R.","year":"1993","unstructured":"Ahuja , R. , Magnanti , T. , and Orlin , J . 1993 . 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