主要漢字形聲字發音規則探勘與視覺化

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

The demand and the importance of Chinese teaching have increased continuously. In order to assist the Chinese learners in composing Chinese characters and increase their learning efficiency, Chinese components teaching method is adopted. The learners can find the clues to both the pronunciations and the meanings of Chinese characters from Chinese components, and semantic-phonetic compounds and their phonetic components are exactly proper to be the object. There are 80.5% semantic-phonetic compounds in the 7000 common Chinese characters, and most of them are formed with one semantic component and one phonetic component. For the purpose of emphasizing the clues to the pronunciations of Chinese characters, multiple-level association rule mining was applied to discover the hierarchical pronunciation rules of semantic-phonetic compounds. This approach found the key factors which have the strong connection with the pronunciations of semantic-phonetic compounds. With the knowledge of Chinese linguistics, we constructed the hierarchical Chinese pronunciation structure. The hierarchical pronunciation rules are the overview of the pronunciations of semantic-phonetic compounds and aid both Chinese learning and Chinese researches. Therefore, they can learn the pronunciations of Chinese characters not only in the general aspect but the specific aspect. These rules were represented in visualization and the simple and memorable system was designed to assist both the Chinese literacy teaching and Chinese researches.

貢獻的翻譯標題Primary Chinese semantic-phonetic compounds pronunciation rules mining and visualization
原文繁體中文
主出版物標題Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
發行者The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面183-197
頁數15
ISBN(電子)9789573079262
出版狀態已出版 - 1 10月 2013
事件25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 - Kaohsiung, Taiwan
持續時間: 4 10月 20135 10月 2013

出版系列

名字Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

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???event.eventtypes.event.conference???25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
國家/地區Taiwan
城市Kaohsiung
期間4/10/135/10/13

Keywords

  • Association Rule Mining Visualization
  • Chinese Teaching
  • Multiple-level Association Rule Mining
  • Phonetic Component
  • Semantic-Phonetic Compounds

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