ReaderBench: Multilevel analysis of Russian text characteristics

ReaderBench: Multilevel analysis of Russian text characteristics

This paper introduces an adaptation of the open source ReaderBench framework that now supports Russian multilevel analyses of text characteristics, while integrating both textual complexity indices and state-of-the-art language models, namely Bidirectional Encoder Representations from Transformers (...

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Bibliographic Details
Main Authors: Dragos Corlatescu, Ștefan Ruseti, Mihai Dascalu
Format: Article
Language:English
Published: Peoples’ Friendship University of Russia (RUDN University) 2022-06-01
Series:Russian Journal of Linguistics
Subjects:
readerbench framework
text complexity indices
language model
neural architecture
multilevel text analysis
assessing text difficulty
Online Access:https://journals.rudn.ru/linguistics/article/viewFile/31328/20813

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