SHS Web Conf.
Volume 55, 2018International Conference on Advanced Studies in Social Sciences and Humanities in the Post-Soviet Era (ICPSE 2018)
|Number of page(s)||7|
|Section||Literature and Linguistics in Imperial, Soviet, and Post-Soviet Times|
|Published online||14 November 2018|
Lemmatization with reversed dictionary and fuzzy sets
Perm State Institute of Culture, 614000, 18 Gazeta Zvezda str., Perm, Russia
2 Perm National Research Polytechnic University, 614990, 15 Bukireva str., Perm, Russia
* Corresponding author: email@example.com
This paper deals with the problem of lemmatization of unknown words in Russian and German. For this purpose, the improved analogy method is used. The analogy method being built around reverse dictionary is very efficient and simple to realize. Adopting fuzzy sets for improving the analogy method is described in this paper. The fuzzy set is a good tool for modelling continual properties of a natural language. It can be implemented for lemmatization as a convenient tool to summarize information that is obtained from different sources. The paper contributes to solving the problem of increasing the accuracy of unknown words analysis.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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