Papers with multilingual system
The iRead4Skills Intelligent Complexity Analyzer (2025.emnlp-demos)
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Wafa Aissa, Raquel Amaro, David Antunes, Thibault Bañeras-Roux, Jorge Baptista, Alejandro Catala, Luís Correia, Thomas François, Marcos Garcia, Mario Izquierdo-Álvarez, Nuno Mamede, Vasco Martins, Miguel Neves, Eugénio Ribeiro, Sandra Rodriguez Rey, Elodie Vanzeveren
| Challenge: | 20% of EU adult population exhibits low-literacy and numeracy skills (EA, 2021). |
| Approach: | iRead4Skills Intelligent Complexity Analyzer integrates a range of NLP components to assess input texts along multiple levels of granularity and linguistic dimensions in Portuguese, Spanish, and French. |
| Outcome: | The system assigns four tailored difficulty levels and introduces four diagnostic yardsticks—textual structure, lexicon, syntax, and semantics—offering users actionable feedback on specific dimensions of textual complexity. |
MUDES: Multilingual Detection of Offensive Spans (2021.naacl-demos)
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| Challenge: | Identifying offensive spans in texts is the goal of the SemEval-2021 Task 5: Toxic Spans Detection . previous work focused on post level annotations, but identifying offensive span is useful in many ways. |
| Approach: | They propose a Python-based system to detect offensive spans in texts with pre-trained models and a user-friendly web-based interface. |
| Outcome: | The proposed system is based on a Python-based framework and a user-friendly web-based interface. |
University of Edinburgh’s submission to the Document-level Generation and Translation Shared Task (D19-56)
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| Challenge: | University of Edinburgh participated in all six tracks: NLG, MT, and MT+NLG with English and German as targeted languages. |
| Approach: | The University of Edinburgh participated in all six tracks: NLG, MT, and MT+NLG . they submitted a multilingual system based on the Content Selection and Planning model . |
| Outcome: | The University of Edinburgh participated in all six tracks with English and German as target languages. |