Active Learning for Multilingual Fingerspelling Corpora
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866913389053214720 |
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| author | Wang, Shuai Nalisnick, Eric |
| author_facet | Wang, Shuai Nalisnick, Eric |
| contents | We apply active learning to help with data scarcity problems in sign languages. In particular, we perform a novel analysis of the effect of pre-training. Since many sign languages are linguistic descendants of French sign language, they share hand configurations, which pre-training can hopefully exploit. We test this hypothesis on American, Chinese, German, and Irish fingerspelling corpora. We do observe a benefit from pre-training, but this may be due to visual rather than linguistic similarities |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_12443 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Active Learning for Multilingual Fingerspelling Corpora Wang, Shuai Nalisnick, Eric Computation and Language Computer Vision and Pattern Recognition We apply active learning to help with data scarcity problems in sign languages. In particular, we perform a novel analysis of the effect of pre-training. Since many sign languages are linguistic descendants of French sign language, they share hand configurations, which pre-training can hopefully exploit. We test this hypothesis on American, Chinese, German, and Irish fingerspelling corpora. We do observe a benefit from pre-training, but this may be due to visual rather than linguistic similarities |
| title | Active Learning for Multilingual Fingerspelling Corpora |
| topic | Computation and Language Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2309.12443 |