Language correction team

Language is a fundamental tool of communication and one of the pillars of effective information transfer. In the era of globalization, automation, and the growing importance of written text—both in science and digital technologies—the significance of precise and correct language communication is increasing.

The language proofreading team conducts research and develops methods for processing, analyzing, and improving natural language text, with particular focus on error correction and adapting text to contemporary language standards. In our work, we combine expertise in linguistics, editing, natural language processing (NLP), and machine learning. We develop models for automatic text correction as well as tools that support the editorial process.

Team members

M. Sc.

Ryszard Staruch

Ryszard Staruch is a is a doctoral student conducting research in the field of language proofreading. He focuses in particular on the use of large language models in the text correction process. His achievements include winning 1st place in the MultiGEC-2025 multilingual text correction competition.

Prof. UAM

Jarosław Liberek

A linguist and specialist in contemporary language norms. He heads the AMU Telephone Language Advisory Service, where he answers questions about language correctness on a daily basis. At the university, he gives lectures on language culture, norms, and correctness.

Consultant

Prof. UAM

Filip Graliński

He is involved in text processing and machine learning. His main interests are language modeling with neural networks, including time and graphics, historical text processing, and evaluation of machine learning systems. Author of the Gonito and GEval systems.