Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification

TL;DR

This paper reports on the TSAR-2022 shared task, which evaluated multilingual lexical simplification methods across English, Portuguese, and Spanish, establishing new benchmarks especially for English.

Contribution

It introduces a shared task for multilingual lexical simplification and provides benchmark results, highlighting progress and challenges in English, Portuguese, and Spanish.

Findings

English results significantly higher than Spanish and Portuguese

14 teams participated in the shared task

Established new benchmarks for multilingual lexical simplification

Abstract

We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSAR-2022 held in conjunction with EMNLP 2022. The task called the Natural Language Processing research community to contribute with methods to advance the state of the art in multilingual lexical simplification for English, Portuguese, and Spanish. A total of 14 teams submitted the results of their lexical simplification systems for the provided test data. Results of the shared task indicate new benchmarks in Lexical Simplification with English lexical simplification quantitative results noticeably higher than those obtained for Spanish and (Brazilian) Portuguese.