Text classification by CEFR levels using machine learning methods and BERT language model
This paper presents a study of the problem of automatic classification of short coherent texts (essays) in English according to the levels of the international CEFR scale. Determining the level of text in natural language is an important component of assessing students knowledge, including checking...
Saved in:
| Main Authors: | Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Yaroslavl State University
2023-09-01
|
| Series: | Моделирование и анализ информационных систем |
| Subjects: | |
| Online Access: | https://www.mais-journal.ru/jour/article/view/1799 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm
by: Ksenia Vladimirovna Lagutina
Published: (2022-12-01) -
Text Classification by Genre Based on Rhythm Features
by: Ksenia Vladimirovna Lagutina, et al.
Published: (2021-10-01) -
Assessing BERT-based models for Arabic and low-resource languages in crime text classification
by: Njood K. Al-harbi, et al.
Published: (2025-07-01) -
TOEFL Score of Tadris Chemistry Students at UIN Antasari in Achievement of CEFR Standard
by: Siska Oktapianti
Published: (2024-06-01) -
Combining CEFR and 4C CLIL Frameworks for Principled Literature in Language Teaching
by: Jeremy Redlich, et al.
Published: (2024-04-01)