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Formal Concept Lattices as Semantic Maps

Ch. 10. P. 78–87.
Ryzhova D., Obiedkov S.

In this paper, we present an application for formal concept analysis (FCA) by showing how it can help construct a semantic map for a lexical typological study. We show that FCA captures typological regularities, so that concept lattices automatically built from linguistic data appear to be even more informative than traditional semantic maps. While sometimes this informativeness causes unreadability of a map, in other cases, it opens up new perspectives in the field, such as the opportunity to analyze the relationship between direct and figurative lexical meanings.

Language: English
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Keywords: анализ формальных понятийFCA (Formal Concept Analysis)lexical typologyлексическая типологияsemantic mapсемантические карты

In book

CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016
CLLS 2016. Computational Linguistics and Language Science. Proceedings of the Workshop on Computational Linguistics and Language Science. Moscow, Russia, April 26, 2016
Vol. 1886. , Aachen: CEUR Workshop Proceedings, 2017.
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