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Towards semantically linked multilingual corpus

Author

Listed:
  • Zhang, Junsheng
  • Sun, Yunchuan
  • Jara, Antonio J.

Abstract

Multilingual information processing gains more and more attention in recent years with the development of information globalization. Multilingual corpus is a key challenge for multilingual information extraction, analysis, management and service in a wide range of systems. This work addresses on the study and analysis of semantic associations among elements in a multilingual corpus. A solution is proposed in this paper to optimize the semantic organization of multilingual corpus by linking the corpus elements into a semantic link network. This enhances the text-basd applications of multilingual corpus such as corpus linguistics study, dictionary search, machine translation and cross-lingual information retrieval.

Suggested Citation

  • Zhang, Junsheng & Sun, Yunchuan & Jara, Antonio J., 2015. "Towards semantically linked multilingual corpus," International Journal of Information Management, Elsevier, vol. 35(3), pages 387-395.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:3:p:387-395
    DOI: 10.1016/j.ijinfomgt.2015.01.004
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    References listed on IDEAS

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    1. Junsheng Zhang & Yingfan Gao & Yanqing He & Hongjiao Xu & Chongde Shi & Peng Qu, 2013. "Semantically Linking Information Resources for Web-Based Sharing," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 7(2), pages 65-79, April.
    2. He, Wu & Zha, Shenghua & Li, Ling, 2013. "Social media competitive analysis and text mining: A case study in the pizza industry," International Journal of Information Management, Elsevier, vol. 33(3), pages 464-472.
    3. Payam Barnaghi & Wei Wang & Cory Henson & Kerry Taylor, 2012. "Semantics for the Internet of Things: Early Progress and Back to the Future," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global Scientific Publishing, vol. 8(1), pages 1-21, January.
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