Statistical tests for text homogeneity: using forward and backward processes of numbers of different words › Research Explorer

DOI

https://doi.org/10.53482/2022_53_401
Final published version

Berhane Abebe
Mikhail Chebunin
Artyom Kovalevskii
Natalia Zakrevskaya

Original language	English
Pages (from-to)	42-58
Number of pages	17
Journal	Glottometrics
Volume	53
DOIs	https://doi.org/10.53482/2022_53_401
Publication status	Published - 2022

OECD FOS+WOS

1.01 MATHEMATICS
6.02.OY LANGUAGE & LINGUISTICS

Research areas

Gaussian process, Zipf’s law, statistical test, text homogeneity, urn model, weak convergence

ID: 45765358