https://scholars.lib.ntu.edu.tw/handle/123456789/119032
標題: | Translating-transliterating named entities for multilingual information access | 作者: | HSIN-HSI CHEN Lin, Wen Cheng Yang, Changhua Lin, Wei Hao |
公開日期: | 三月-2006 | 卷: | 57 | 期: | 5 | 起(迄)頁: | 645-659 | 來源出版物: | Journal of the American Society for Information Science and Technology | 摘要: | Named entities are major constituents of a document but are usually unknown words. This work proposes a systematic way of dealing with formulation, transformation, translation, and transliteration of multilingual-named entities. The rules and similarity matrices for translation and transliteration are learned automatically from parallel-named-entity corpora. The results are applied in cross-language access to collections of images with captions. Experimental results demonstrate that the similarity-based transliteration of named entities is effective, and runs in which transliteration is considered outperform the runs in which it is neglected. © 2006 Wiley Periodicals, Inc. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33645035493&doi=10.1002%2fasi.20327&partnerID=40&md5=fd8fb579e16556dcbfd9e8eb40d53557 | DOI: | 10.1002/asi.20327 | SDG/關鍵字: | Multilingual information access; Parallel-named-entity corpora; Transliteration; Formal languages; Image analysis; Mathematical transformations; Information retrieval |
顯示於: | 資訊工程學系 |
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