An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework

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2024.readi-1.4
Final published version, 195 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Matthew Shardlow
Fernando Alva-Manchego
Riza Theresa Batista-Navarro
Stefan Bott
Saul Calderon Ramirez
Rémi Cardon
Thomas François
Akio Hayakawa
Andrea Horbach
Anna Hülsing
Yusuke Ide
Joseph Marvin Imperia
Adam Nohej
Kai North
Laura Occhipinti
Nelson Peréz Rojas
Md Nishat Raihan
Martin Solis Salazar
Marcos Zampieri
Horacio Saggion

Publication date	20/05/2024
Host publication	Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024
Editors	Rodrigo Wilkens, Rémi Cardon, Amalia Todirascu, Núria Gala
Publisher	ELRA and ICCL
Pages	38-46
Number of pages	9
ISBN (electronic)	9782493814340
<mark>Original language</mark>	English
Event	3rd Workshop on Tools and Resources for REAding DIfficulties - Turin, Italy Duration: 20/05/2024 → 20/05/2024 https://cental.uclouvain.be/readi2024/

Workshop

Workshop	3rd Workshop on Tools and Resources for REAding DIfficulties
Abbreviated title	READI
Country/Territory	Italy
City	Turin
Period	20/05/24 → 20/05/24
Internet address	https://cental.uclouvain.be/readi2024/

Workshop

Workshop	3rd Workshop on Tools and Resources for REAding DIfficulties
Abbreviated title	READI
Country/Territory	Italy
City	Turin
Period	20/05/24 → 20/05/24
Internet address	https://cental.uclouvain.be/readi2024/

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.

Research

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