Research
For more than twenty years, CrossLang has been a pioneer of scientific research in the field of language technology and translation automation.
Projects
LLMs4EU
The LLMs4EU project's main goal is to make Large Language Models (LLMs) and the tools needed to use them available as open data in every EU language. This will help European businesses, especially small and medium-sized enterprises (SMEs), access reliable AI tools and become more competitive.
AI4Culture
The consortium of the AI4Culture project developed a platform which constitutes an online capacity building hub for the application of AI technologies in the cultural heritage sector
Operas
In the framework of the Translations and Open Science project of the OPERAS infrastructure, we fine-tune and evaluate machine translation systems for scholarly communication.
ELRC
The ELRC (European Language Resource Coordination) action aims at minimising language barriers across the EU.
APE-Quest
The APE-Quest project develops a Quality Gate for obtaining an acceptable translation quality in a shorter amount of time and at a lower cost than in a traditional translation workflow.
Projects
Publications

On Curating HTR Training Datasets for Romanian Language with use of Transcribathon Tool (to appear in 2026)
Authors: S. Gordea, G.C. Cotea, F. Drauschke, J. Salesevic, M. Lamote, T. Vanallemeersch

Tailoring Machine Translation for Scientific Literature through Topic Filtering and Fuzzy Match Augmentation (2025)
Authors: T. Moerman, T. Vanallemeersch, S. Szoc, A. Tezcan

AI4Culture Platform: Upskilling Experts on Multilingual/-modal Tools (2024)
Authors: T. Vanallemeersch, S. Szoc, M. Lamote, F. Everaert, E. Kaldeli

AI4Culture: Towards Multilingual Access for Cultural Heritage Data (2024)
Authors: T. Vanallemeersch, S. Szoc, L. Meeus

Term Translation: Convert or Converse? (2023)
Authors: A. Kostikova, K. Migdisi, S. Szoc, T. Vanallemeersch

Translations and Open Science: Exploring how translation technologies can support multilingualism in scholary communication (2023)
Authors: S. Fiorini, A. Tezcan, T. Vanallemeersch, S. Szoc, K. Migdisi, L. Meeus, and L. Macken