KFU. Card publication. Modelling of growth of syntactic relations network in English and Russian

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MODELLING OF GROWTH OF SYNTACTIC RELATIONS NETWORK IN ENGLISH AND RUSSIAN

Form of presentation

Articles in international journals and collections

Year of publication

2019

Язык

английский

Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Lerner Eduard Yulevich, author

Shevlyakova Anna Vladimirovna, author

Bibliographic description in the original language

Vladimir V Bochkarev, Anna V Shevlyakova and Eduard Yu Lerner. Modelling of growth of syntactic relations network in English and Russian / Vladimir V Bochkarev, Anna V Shevlyakova and Eduard Yu Lerner / Journal of Physics: Conference Series, Volume 1141, conference 1 - 2018 - P. 1-4 // International Conference on Mathematical Modelling in Physical Sciences, 27–31 October 2018, Moscow, Russian Federation

Annotation

Creation of the Google Books Ngram corpus opened up new opportunities for studying language evolution. This corpus consists of a large amount of digitized books written in 8 languages and contains information on frequencies of words, word combinations and syntactic relations of the last 500 years. In this paper, we present data on changes in the key characteristics of syntactic relations in English and Russian and propose a model which allows us to explain the observed changes. We used Google Books Ngram data (1800-2008) and performed modelling of network growth. Then, we compared the characteristics of the obtained model networks with the characteristics of the network of syntactic relations of the English and Russian languages. It was shown that selection of two parameters of the model allows us to obtain a very good correspondence between the changes in the clustering coefficient, the assortativity coefficient, and word distribution by the number of relations in the model network and in real networks of syntactic relations.

Keywords

Google Books Ngram corpus, real networks, syntactic relations

The name of the journal

Journal of Physics: Conference Series

URL

https://iopscience.iop.org/article/10.1088/1742-6596/1141/1/012008/pdf

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

https://repository.kpfu.ru/eng/?p_id=214855&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	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Vladimir V Bochkarev, Anna V Shevlyakova and Eduard Yu Lerner. Modelling of growth of syntactic relations network in English and Russian / Vladimir V Bochkarev, Anna V Shevlyakova and Eduard Yu Lerner / Journal of Physics: Conference Series, Volume 1141, conference 1 - 2018 - P. 1-4 // International Conference on Mathematical Modelling in Physical Sciences, 27–31 October 2018, Moscow, Russian Federation	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=214855&p_lang=2	ru_RU
dc.description.abstract	Journal of Physics: Conference Series	ru_RU
dc.description.abstract	Creation of the Google Books Ngram corpus opened up new opportunities for studying language evolution. This corpus consists of a large amount of digitized books written in 8 languages and contains information on frequencies of words, word combinations and syntactic relations of the last 500 years. In this paper, we present data on changes in the key characteristics of syntactic relations in English and Russian and propose a model which allows us to explain the observed changes. We used Google Books Ngram data (1800-2008) and performed modelling of network growth. Then, we compared the characteristics of the obtained model networks with the characteristics of the network of syntactic relations of the English and Russian languages. It was shown that selection of two parameters of the model allows us to obtain a very good correspondence between the changes in the clustering coefficient, the assortativity coefficient, and word distribution by the number of relations in the model network and in real networks of syntactic relations.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Google Books Ngram corpus	ru_RU
dc.subject	real networks	ru_RU
dc.subject	syntactic relations	ru_RU
dc.title	Modelling of growth of syntactic relations network in English and Russian	ru_RU
dc.type	Articles in international journals and collections	ru_RU