Active Learning for Multilingual Fingerspelling Corpora
Shuai Wang Eric Nalisnick
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