English-to-traditional Chinese cross-lingual link discovery in articles with wikipedia corpus
|English-to-traditional Chinese cross-lingual link discovery in articles with wikipedia corpus|
|Author(s)||Chen L.-P., Shih Y.-L., Chen C.-T., Ku T., Hsieh W.-T., Chiu H.-S., Yang R.-D.|
|Published in||Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012|
|Keyword(s)||Cross-lingual link discovery, Link discovery, Linked data, Wikipedia (Extra: Cross-lingual, High potential, Knowledge bank, Link Discovery, Linked datum, Processing flow, Wikipedia, Data handling, Data mining, Speech processing, Computational linguistics)|
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English-to-traditional Chinese cross-lingual link discovery in articles with wikipedia corpus is a 2012 conference paper written in English by Chen L.-P., Shih Y.-L., Chen C.-T., Ku T., Hsieh W.-T., Chiu H.-S., Yang R.-D. and published in Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, ROCLING 2012.
In this paper, we design a processing flow to produce linked data in articles, providing anchor-based 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.
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