Papers by Bartłomiej Jezierski

1 papers
Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training (2023.findings-acl)

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Challenge: Existing methods to train automatic text simplification systems for languages other than English are limited by the lack of parallel data.
Approach: They propose to use German Easy Language as a corpus of automatic text simplification systems to fine-tune language models to the style characteristics of the language.
Outcome: The proposed language models adapt to the style characteristics of Easy Language and output more accessible texts.

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