Prediction of the Number of Speakers of World Languages by SVR

DOI

10.2991/hssmee-18.2018.58How to use a DOI?

Keywords

Prediction; Support Vector Regression; Language.

Abstract

The number of speakers of World Languages is an important figure to analysis the language. Support Vector Machine Regression Model can find a function to minimize the distance between each sample and the hyperplane, this function can be used to predicted the number of speakers precisely. To predict the number of speakers of top 10 language in future 50 years, Chinese will become the language of the largest number of people in the world and Telugu and Malay will replace Portuguese and Russian into the top 10 list.

Copyright

© 2018, 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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TY  - CONF
AU  - Shengqi Yuan
PY  - 2018/09
DA  - 2018/09
TI  - Prediction of the Number of Speakers of World Languages by SVR
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 346
EP  - 349
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.58
DO  - 10.2991/hssmee-18.2018.58
ID  - Yuan2018/09
ER  -