Analyzes the given text and determine what's the vocabulary level based on CEFR levels

A corpus of short answers written by learners of English and graded with CEFR levels

The CEFR Level Classifier Project is a AI Streamlit-based application that utilizes a two-phase Camembert model to accurately classify texts into six CEFR language proficiency levels. This innovative tool offers user-friendly navigation for both training and text classification.

Elaisa Search - CEFR Categerorizer

小初高/四六级/专四专八与国外CEFR/COCA的对应关系（词汇）

Webpage and csv file of 3000 core Russian Verbs for learners

A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet

📝 The Swedish Kelly list as a Hugging Face dataset

A Comparative Study of Methods for English Lexical Simplification.

Woertle Embed — a German-language Wordle game with CEFR filters — on any site via iframe.

Anki decks: 🇪🇸 ES / 🇫🇷 FR / 🇩🇪 DE / 🇮🇹 IT A1→B2 / 🇨🇳 HSK 1→9

Python package that evaluates the CEFR level of a given text.

Pilot application within the PedagoReLearn framework, implementing Reflexive Reciprocity Theory (RRT) through a reinforcement learning–enhanced micro-tutoring system for German vocabulary acquisition (CEFR A1). Learner interaction data feeds upstream to the parent PedagoReLearn repository for instructional policy analysis.

Adaptive reading coach. Multi-language comprehension practice customized by Generative AI agents, built with Next.js.

Definitions of the difficulty level of English-language films

Code and data for TSAR 2025 Shared Task

A Go program that accumulates B1-level Dutch vocabulary using the [NT2Lex](https://github.com/anaistack/NT2Lex) database, a CEFR-graded lexical resource for Dutch as a Foreign Language

This bot provides information about the education center.

Convert CEFR-J csv into JSON format which is designed for CEFR_analyzer. https://github.com/straygizmo/CEFR_analyzer

Interactive language learning app for mastering spelling through audio exercises. Features CEFR-leveled content (A1-C2), multi-language support, dark mode, and personalized learning paths. Built with Next.js 15, TypeScript, Prisma, and Supabase.