Abstract
“The Semantic Information Knowledge-base of Mongolian” (SIKM) is a natural language processing-oriented lexical semantic knowledge base. The first period of the project was conducted between 2009–12 with the three sub-bases as noun, adjective, and verb being developed and completed. Many more efforts have been put during phase II since 2013. The scale and quality of the SIKM has been significantly improved, which will provide stronger support for semantic analysis. This paper presents the latest progress of SIKM from the perspective of general base development, expansion of scale, improvement of semantic classification, perfection of attribute description, and some preliminary applications in the system.
This research is sponsored by the project NSF grant of China-“The Design and Implementation of Semantic Information Knowledge-Base in Mongolian” (60873084), the Project of NSSF-“Development and Research of Knowledge-Base of Mongolian Idioms” (12CYY062), the project of Mongolian Language and Character of Inner Mongolia-“the Related Standard of Mongolian Idioms for Education” (MW-YB-2015014).
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Notes
- 1.
The example was from “One Million Word Corpus of Contemporary Mongolian”, the number of ( ) represent its position on corpus.
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Hai, Y., Nasun-urt (2018). The Development and Preliminary Applications of Semantic Information Knowledge-Base of Mongolian. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_27
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