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題 名 | Building a Chinese WordNet Via Class-Based Translation Model |
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作 者 | Chang,Jason S.; Lin,Tracy; You,Geeng-neng; Chuang,Thomas C.; Hsieh,Ching-ting; | 書刊名 | International Journal of Computational Linguistics & Chinese Language Processing |
卷 期 | 8:2 2003.08[民92.08] |
頁 次 | 頁61-76 |
分類號 | 312.13 |
關鍵詞 | |
語 文 | 英文(English) |
英文摘要 | Semantic lexicons are indispensable to research in lexical semantics and word sense disambiguation (WSD). For the study of WSD for English text, researchers have been using different kinds of lexicographic resources, including machine readable dictionaries (MRDs), machine readable thesauri, and bilingual corpora. In recent years, WordNet has become the most widely used resource for the study of WSD and lexical semantics in general. This paper describes the Class-Based Translation Model and its application in assigning translations to nominal senses in WordNet in order to build a prototype Chinese WordNet. Experiments and evaluations show that the proposed approach can potentially be adopted to speed up the construction of WordNet for Chinese and other languages. |
本系統中英文摘要資訊取自各篇刊載內容。