English-to-Traditional Chinese Cross-lingual Link Discovery in Articles withWikipedia Corpus

English-to-Traditional Chinese Cross-lingual Link Discovery in Articles withWikipedia Corpus

本篇論文中提出了一套自動化流程以發掘潛在的關鍵字連結，並且在找出文章關鍵字後能夠提供關鍵字於跨語言的相關資訊，而我們利用了Wikipedia做為我們的知識庫，藉由Wikipedia的資料，系統能夠提供相關的關鍵字內容資訊，進而幫助使用者閱讀文章。論文中所提出的系統整合了相關的資訊檢索技術以及自然語言處理相關的演算法，以利於幫助我們進行關鍵字的識別以及相關的跨語言翻譯，同時系統整合了跨語連結發掘的技巧來幫助提供跨語言的關鍵字資訊。經過初步的實驗證實，相較於baseline方法，此方法確實能夠始數據有所提昇。

In this paper, we design a processing flow to produce linked data in articles, providing anchorbased term's additional information and related terms in different languages (English to Chinese). Wikipedia has been a very important corpus and knowledge bank. Although Wikipedia describes itself not a dictionary or encyclopedia, it is if high potential values in applications and data mining researches. Link discovery is a useful IR application, based on Data Mining and NLP algorithms and has been used in several fields. According to the results of our experiment, this method does make the result has improved.