Summary of Asl Stem Wiki: Dataset and Benchmark For Interpreting Stem Articles, by Kayo Yin et al.
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
by Kayo Yin, Chinmay Singh, Fyodor O. Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex X. Lu, Danielle Bragg
First submitted to arxiv on: 8 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC)
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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 The paper introduces ASL STEM Wiki, a parallel corpus of 254 Wikipedia articles on STEM topics in English interpreted into over 300 hours of American Sign Language (ASL). This dataset aims to facilitate the development of AI resources for STEM education in ASL, addressing barriers faced by deaf and hard-of-hearing students. The authors identify several use cases, including developing models to identify fingerspelled words, which can be used to query for appropriate ASL signs to suggest to interpreters. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a special dictionary of science and math words in American Sign Language (ASL) to help deaf students learn these subjects. It’s like creating a big book of signs that says what each sign means. This will help deaf students learn better because they’ll have the right signs to use when talking about math and science. |
