ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)
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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.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 3 of its 63 references that are in the map. First posted on arXiv 19 Jan 2022.
Builds on
3 of 63 references.
References · 3
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Citing papers per year: 2023: 1; 2024: 1; 2025: 4; 2026: 4.
10 papers.
- 2025EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Languagecited by 4
- 2023DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymizationcited by 3
- 2025SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Spacecited by 3
- 2024AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Softwarecited by 1
- 2025Emotion Recognition in Signerscited by 1
- 2025MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognitioncited by 0
- 2026Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairscited by 0
- 2026Towards Continuous Sign Language Conversation from Isolated Signscited by 0
- 2026Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standardscited by 0
- 2026DiscoSign: Discourse-Aware Text to Sign Language Gloss Translationcited by 0
- 2026DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation2 Sep 2026
- 2026Towards Continuous Sign Language Conversation from Isolated Signs14 May 2026
- 2026Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs29 Apr 2026
- 2026Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards28 Apr 2026
- 2025Emotion Recognition in Signers17 Dec 2025
- 2025MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition25 Nov 2025
- 2025EmoSign: A Multimodal Dataset for Understanding Emotions in American Sign Language20 May 2025
- 2025SignX: Continuous Sign Recognition in Compact Pose-Rich Latent Space22 Apr 2025
- 2024AzSLD: Azerbaijani Sign Language Dataset for Fingerspelling, Word, and Sentence Translation with Baseline Software19 Nov 2024
- 2023DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization27 Nov 2023