KFU. Card publication. Deviations in the Zipf and Heaps laws in natural languages

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FEDERAL UNIVERSITY

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DEVIATIONS IN THE ZIPF AND HEAPS LAWS IN NATURAL LANGUAGES

Form of presentation

Articles in international journals and collections

Year of publication

2014

Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Lerner Eduard Yulevich, author

Shevlyakova Anna Vladimirovna, author

Bibliographic description in the original language

Deviations in the Zipf and Heaps laws in natural languages. J. Phys.: Conf. Ser., 2014, V.490, 012009

Annotation

This paper is devoted to verifying of the empirical Zipf and Hips laws in natural languages using Google Books Ngram corpus data. The connection between the Zipf and Heaps law which predicts the power dependence of the vocabulary size on the text size is discussed. In fact, the Heaps exponent in this dependence varies with the increasing of the text corpus. To explain it, the obtained results are compared with the probability model of text generation. Quasiperiodic variations with characteristic time periods of 60-100 years were also found.

Keywords

Zipf law, Heaps law, Google Books Ngram

The name of the journal

J. Phys. Conf. Series

URL

http://iopscience.iop.org/1742-6596/490/1/012009/pdf/1742-6596_490_1_012009.pdf

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=95309&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bochkarev Vladimir Vladimirovich	ru_RU
dc.contributor.author	Lerner Eduard Yulevich	ru_RU
dc.contributor.author	Shevlyakova Anna Vladimirovna	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Deviations in the Zipf and Heaps laws in natural languages. J. Phys.: Conf. Ser., 2014, V.490, 012009	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=95309&p_lang=2	ru_RU
dc.description.abstract	J. Phys. Conf. Series	ru_RU
dc.description.abstract	This paper is devoted to verifying of the empirical Zipf and Hips laws in natural languages using Google Books Ngram corpus data. The connection between the Zipf and Heaps law which predicts the power dependence of the vocabulary size on the text size is discussed. In fact, the Heaps exponent in this dependence varies with the increasing of the text corpus. To explain it, the obtained results are compared with the probability model of text generation. Quasiperiodic variations with characteristic time periods of 60-100 years were also found.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Zipf law	ru_RU
dc.subject	Heaps law	ru_RU
dc.subject	Google Books Ngram	ru_RU
dc.title	Deviations in the Zipf and Heaps laws in natural languages	ru_RU
dc.type	Articles in international journals and collections	ru_RU