
How can I use Textometr to assess the CEFR level of Russian texts
Textometr is an online tool designed to automatically assess the complexity level of Russian texts, including estimating their CEFR (Common European Framework of Reference for Languages) level. It uses a regression model trained on a dataset of over 800 Russian textbook texts for foreign learners and applies machine learning and natural language processing techniques to assign a CEFR level from A1 to C2.
To use Textometr for assessing the CEFR level of a Russian text, you submit the text to the tool, which then provides several types of feedback:
- An estimated CEFR level of the text
- Lists of keywords and suggested vocabulary for learning
- Statistics on the text coverage by frequency and CEFR-graded vocabulary lists
- A frequency list of words in the text
- A reading time forecast
Textometr is useful for teachers, curriculum designers, and authors who want to adapt texts for learners by understanding their difficulty level and lexical characteristics relevant to CEFR levels.
This tool is free and web-based, making it accessible for evaluating Russian texts for language learners and aligning texts with CEFR-based teaching materials. 1
References
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Automatic text simplification of Russian texts using control tokens
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Topic Modeling for Text Structure Assessment: The case of Russian Academic Texts
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Second Language Identity Formation through Russian Folklore Texts
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MITIGATING RESPONDENT FATIGUE IN SELF-ASSESSMENT: CEFR-BASED ITEMS FOR MALAYSIAN UNDERGRADUATES
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Aligning Academic Reading Tests to the Common European Framework of Reference for Languages (CEFR)
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RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
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Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
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Sentence comprehension test for Russian: A tool to assess syntactic competence
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MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment