Summary of Lexicography Saves Lives (lsl): Automatically Translating Suicide-related Language, by Annika Marie Schoene et al.
Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language
by Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos, Laura Haaber Ihle
First submitted to arxiv on: 20 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to address the dearth of suicide-related resources in non-English languages is presented in this paper. The authors introduce the ‘Lexicography Saves Lives Project’ to tackle the ethical tensions arising from linguistic misrepresentation when translating existing dictionaries into diverse target languages. A key contribution is the translation of an existing dictionary related to suicidal ideation into 200 different languages, accompanied by human evaluations on a subset of translated dictionaries. The paper also provides guidelines for mitigating harm in developing suicide-related resources and offers a public website for resource sharing and community participation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The ‘Lexicography Saves Lives Project’ aims to address the global issue of suicide by providing suicide-related resources in multiple languages. The authors translate an existing dictionary into 200 different languages, ensuring that resources are accessible worldwide. This project is crucial in reducing the suicide rate by 2030, a goal set by the UN’s Sustainable Development Goals. |
Keywords
» Artificial intelligence » Translation
