An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework
(2024) Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024 — Location: Torino, Italia (20.May.2024)
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Cardon, Rémi 
- Abstract
- We present preliminary findings on the MultiLS dataset, developed in support of the 2024 Multilingual Lexical Simplification Pipeline (MLSP) Shared Task. This dataset currently comprises of 300 instances of lexical complexity prediction and lexical simplification across 10 languages. In this paper, we (1) describe the annotation protocol in support of the contribution of future datasets and (2) present summary statistics on the existing data that we have gathered. Multilingual lexical simplification can be used to support low-ability readers to engage with otherwise difficult texts in their native, often low-resourced, languages.
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Shardlow, M., Alva-Manchego, F., Batista-Navarro, R., Bott, S., Calderon Ramirez, S., Cardon, R., François, T., Hayakawa, A., Horbach, A., Hülsing, A., Ide, Y., Marvin Imperial, J., Nohejl, A., North, K., Occhipinti, L., Peréz Rojas, N., Raihan, N., Ranasinghe, T., Solis Salazar, M., et al. (2024). An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework. In Rodrigo Wilkens, Rémi Cardon, Amalia Todirascu, Núria Gala (ed.), Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024 (ELRA and ICCL, p. p. 38-46). ELRA and ICCL. https://hdl.handle.net/2078.5/231508