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arXiv · 2412.15497

Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language

Annika Marie Schoene·John E. Ortega·Rodolfo Joel Zevallos·Laura Haaber Ihle
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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.

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Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos, Laura Haaber Ihle. 2024-12-20. Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language. https://arxiv.org/abs/2412.15497

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