MSc Thesis - UvA - Deep Learning-Based CEFR Text Classification - Ayoub Abdelouarit

Master Thesis by Ayoub Abdelouarit

A classification model that can assess the CEFR level of texts can be used to make websites more readable, to assess the quality of vacancy texts and to make news content, for example, information about the pandemic more accessible. This, in turn, can increase the level of civic participation and community involvement.

The aim of this study is to compare state-of-the-art deep learning-based models with traditional machine learning models that rely on handcrafted features. This research applies state-of-the-art deep learning based models BERT, RoBERTa and DistilBERT to perform CEFR text classification.



This research was conducted by Ayoub Abdelouarit in collaboration with AI Team, Urban Innovation and R&D, City of Amsterdam.

Involved civil servants: Iva Gornishka

Supervisors: Maarten Marx & Iva Gornishka

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