# ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

arXiv: https://arxiv.org/abs/2201.07899 · HTML: https://mlsanity.com/paper/2201.07899/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 63 references that are in the map.
- First posted on arXiv 19 Jan 2022.

## Builds on (most cited first, 3 of 3)

- [Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition](https://mlsanity.com/paper/1901.11164/) (2019)
- [Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?](https://mlsanity.com/paper/1907.10292/) (2019)
- [ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language](https://mlsanity.com/paper/2201.02065/) (2022)

## Built on by (most cited first, 10 of 10)

- [SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space](https://mlsanity.com/paper/2504.16315/) (2025)
- [EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language](https://mlsanity.com/paper/2505.17090/) (2025)
- [DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization](https://mlsanity.com/paper/2311.16060/) (2023)
- [AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software](https://mlsanity.com/paper/2411.12865/) (2024)
- [Emotion Recognition in Signers](https://mlsanity.com/paper/2512.15376/) (2025)
- [MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition](https://mlsanity.com/paper/2511.19907/) (2025)
- [Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs](https://mlsanity.com/paper/2604.27232/) (2026)
- [Towards Continuous Sign Language Conversation from Isolated Signs](https://mlsanity.com/paper/2605.14705/) (2026)
- [Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards](https://mlsanity.com/paper/2606.19352/) (2026)
- [DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation](https://mlsanity.com/paper/2609.02796/) (2026)

## Abstract (arXiv)

The American Sign Language Linguistic Research Project (ASLLRP) provides Internet access to high-quality ASL video data, generally including front and side views and a close-up of the face. The manual and non-manual components of the signing have been linguistically annotated using SignStream(R). The recently expanded video corpora can be browsed and searched through the Data Access Interface (DAI 2) we have designed; it is possible to carry out complex searches. The data from our corpora can also be downloaded; annotations are available in an XML export format. We have also developed the ASLLRP Sign Bank, which contains almost 6,000 sign entries for lexical signs, with distinct English-based glosses, with a total of 41,830 examples of lexical signs (in addition to about 300 gestures, over 1,000 fingerspelled signs, and 475 classifier examples). The Sign Bank is likewise accessible and searchable on the Internet; it can also be accessed from within SignStream(R) (software to facilitate linguistic annotation and analysis of visual language data) to make annotations more accurate and efficient. Here we describe the available resources. These data have been used for many types of research in linguistics and in computer-based sign language recognition from video; examples of such research are provided in the latter part of this article.