Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)

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A Study of Efficiency of Modern Inflection and Lemmatization Software

Authors
Oleg Sychev, Vladislav Gurtovoy, Nikita Penskoy
Corresponding Author
Oleg Sychev
Available Online December 2017.
DOI
10.2991/itsmssm-17.2017.30How to use a DOI?
Keywords
inflection; lemmatization; natural language processing
Abstract

Inflectors - theÿprograms that generateÿdifferent forms of the given lemma - are important part of natural language processing, especially natural language generation. They, along with lemmatizers - the programs that determine the lemma of the word - alsoÿcan be used in teachingÿgrammar. However, writing an efficient inflector is not an easy task and many modernÿapplicationsÿhave deficiencies.ÿThe article compares several modern open source inflectors using same-lemma detection method,ÿwhich defines ifÿinflector could be used toÿidentify, thatÿtwo different words belong to the same lemma.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
10.2991/itsmssm-17.2017.30
ISSN
2352-538X
DOI
10.2991/itsmssm-17.2017.30How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Oleg Sychev
AU  - Vladislav Gurtovoy
AU  - Nikita Penskoy
PY  - 2017/12
DA  - 2017/12
TI  - A Study of Efficiency of Modern Inflection and Lemmatization Software
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 143
EP  - 147
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.30
DO  - 10.2991/itsmssm-17.2017.30
ID  - Sychev2017/12
ER  -