Toshio Yokoi
Abstract
Natural language processing will grow into a vital industrial technology in the next five to 10 years. But this growth depends on the development of large linguistic databases that capture natural language phenomena [1, 2]. Another important theme for future work is development of large knowledge bases that are shared widely by different groups. One promising approach to such knowledge bases draws on natural language processing and linguistic knowledge. This article describes the EDR Electronic Dictionary [3], which seeks to provide a foundation for linguistic databases, and explains the relation of electronic dictionaries to very large knowledge bases.
- 1 Boguraev, B., and Brisco, T. Eds. Computational Lexicography for Natural Language Processing. Longman, 1989. Google Scholar
Digital Library
- 2 Pustejovsky, J., and Bergler, S. Eds. Lexical Semantics and Knowledge Representation. Lecture Notes in Artificial Intelligence, Vol. 627, Springer-Verlag, 1992.Google ScholarCross Ref
- 3 EDR Electronic Dictionary Technical Guide (2nd edition). TR-045, Japan Electronic Dictionary Research Institute, Ltd., Tokyo, 1995. {http://www.iij net.or.jp/edr}Google Scholar
- 4 Fuchi, K., and Yokoi, T., Eds. Knowledge Building and Knowledge Sharing. Ohmsha and IOS Press, 1995.Google Scholar
- 5 Jacobs, P. S., Ed. Text Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval. Erbaum, 1992. Google ScholarDigital Library
Index Terms
- The EDR electronic dictionary
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Reviews
Graeme J. Hirst
Serious linguistic applications, such as machine translation and knowledge acquisition from text, require systems that have considerable knowledge about the words of the natural language or languages involved and the relationship between the words and the concepts that underlie them. Several projects have aimed to build linguistic knowledge bases that are large enough to be useful. One of the most important is the nine-year Electronic Dictionary project of the Japan Electronic Dictionary Research Institute Ltd. (EDR), which started in 1986 and has produced large Japanese and English unilingual and bilingual dictionaries with mappings to an underlying classification of concepts. This short paper gives an overview of the purpose and scope of the project. There is no technical description of the representations or structures that were used, nor any evaluation of the results.
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