Elaboration of a vector based semantic classification over the words and notions of the natural language
- Authors: Safonov KV1, Lichargin DV2
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Affiliations:
- Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
- Siberian Federal University, Russia, Krasnoyarsk
- Issue: Vol 10, No 5 (2009)
- Pages: 52-56
- Section: Articles
- URL: https://journals.eco-vector.com/2712-8970/article/view/508562
- ID: 508562
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Abstract
The problem of vector-based semantic classification over the words and notions of the natural language is discussed. A set of generative grammar rules is offered for generating the semantic classification vector. Examples of the classification application and a theorem of optional formal classification incompleteness are presented. The principles of assigning the meaningful phrases functions over the classification word groups are analyzed.
About the authors
K V Safonov
Siberian State Aerospace University named after academician M. F. Reshetnev, Russia, KrasnoyarskSiberian State Aerospace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
D V Lichargin
Siberian Federal University, Russia, KrasnoyarskSiberian Federal University, Russia, Krasnoyarsk
References
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