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    <abstract>Recent years have seen a marked increase in research that aims to identify or predict risk, intention or ideation of suicide. The majority of new tasks, datasets, language models and other resources focus on English and on suicide in the context of Western culture. However, suicide is global issue and reducing suicide rate by 2030 is one of the key goals of the UN‘s Sustainable Development Goals. Previous work has used English dictionaries related to suicide to translate into different target languages due to lack of other available resources. Naturally, this leads to a variety of ethical tensions (e.g.: linguistic misrepresentation), where discourse around suicide is not present in a particular culture or country. In this work, we introduce the ‘Lexicography Saves Lives Project’ to address this issue and make three distinct contributions. First, we outline ethical consideration and provide overview guidelines to mitigate harm in developing suicide-related resources. Next, we translate an existing dictionary related to suicidal ideation into 200 different languages and conduct human evaluations on a subset of translated dictionaries. Finally, we introduce a public website to make our resources available and enable community participation.</abstract>
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%0 Conference Proceedings
%T Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language
%A Schoene, Annika Marie
%A Ortega, John E.
%A Zevallos, Rodolfo Joel
%A Ihle, Laura Haaber
%Y Rambow, Owen
%Y Wanner, Leo
%Y Apidianaki, Marianna
%Y Al-Khalifa, Hend
%Y Eugenio, Barbara Di
%Y Schockaert, Steven
%S Proceedings of the 31st International Conference on Computational Linguistics
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F schoene-etal-2025-lexicography
%X Recent years have seen a marked increase in research that aims to identify or predict risk, intention or ideation of suicide. The majority of new tasks, datasets, language models and other resources focus on English and on suicide in the context of Western culture. However, suicide is global issue and reducing suicide rate by 2030 is one of the key goals of the UN‘s Sustainable Development Goals. Previous work has used English dictionaries related to suicide to translate into different target languages due to lack of other available resources. Naturally, this leads to a variety of ethical tensions (e.g.: linguistic misrepresentation), where discourse around suicide is not present in a particular culture or country. In this work, we introduce the ‘Lexicography Saves Lives Project’ to address this issue and make three distinct contributions. First, we outline ethical consideration and provide overview guidelines to mitigate harm in developing suicide-related resources. Next, we translate an existing dictionary related to suicidal ideation into 200 different languages and conduct human evaluations on a subset of translated dictionaries. Finally, we introduce a public website to make our resources available and enable community participation.
%U https://aclanthology.org/2025.coling-main.213/
%P 3179-3192

Markdown (Informal)

[Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language](https://aclanthology.org/2025.coling-main.213/) (Schoene et al., COLING 2025)

• Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language (Schoene et al., COLING 2025)

ACL

• Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos, and Laura Haaber Ihle. 2025. Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language. In Proceedings of the 31st International Conference on Computational Linguistics, pages 3179–3192, Abu Dhabi, UAE. Association for Computational Linguistics.