---
title: "The SignBeach Dataset of Dutch Sign Language (NGT) signs"
description: "The release adds pose, hand and 3D body estimates and links each item to Signbank via glosses, IDs and URLs. 37 references."
authors: ["Annika Schiefner", "Gomèr Otterspeer", "Beyza Sümer", "Floris Roelofsen"]
year: 2026
venue: "Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion"
source: "https://aclanthology.org/2026.signlang-1.46/"
doi: "10.63317/2whuhuqvwuix"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/schiefner-2026-signbeach-dataset-dutch-sign-language/"
---
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# The SignBeach Dataset of Dutch Sign Language (NGT) signs

**Authors:** Annika Schiefner, Gomèr Otterspeer, Beyza Sümer and Floris Roelofsen · **Year:** 2026 · **Venue:** [Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/) ([LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion 2026](https://md.research.elamur.ai/free/en/venues/signlang/2026/)) · **Publisher:** [European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/) · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.signlang-1.46/) · [PDF](https://aclanthology.org/2026.signlang-1.46.pdf) · [DOI 10.63317/2whuhuqvwuix](https://doi.org/10.63317/2whuhuqvwuix) · [OpenAlex](https://openalex.org/W7166584873)

**Citations:** 0 citations (OpenAlex, 2026-10-14)

## Summary
Few lexical video resources for Dutch Sign Language (NGT) suit children. Existing ones also tend to omit the mouthings and other non-manual cues that signs carry in real use. The authors address this with SignBeach, a database of 1401 everyday NGT signs. It was built for online games in which primary school children translate between NGT signs and Dutch words. Items came from a children's sign book, were checked against an online NGT dictionary, and were then matched to entries in the NGT Signbank. When a variant was missing or disputed, the team substituted or re-recorded it based on the signers' feedback. Each sign was filmed with four deaf signers in a studio using five synchronised cameras, managed through the signCollect pipeline. The release adds pose, hand and 3D body estimates and links each item to Signbank via glosses, IDs and URLs. The resource is useful for psycholinguistic research, for sign language technology, and as a link to other NGT resources.

## Key points
- 1401 lexical signs, each performed by four deaf professional signers (two women, two men) and filmed from five synchronised camera angles.
- The signs map to 1297 distinct Signbank glosses. Because one manual form can carry several meanings, items are identified by their Dutch translation. Most compounds have no Signbank entry and are marked NA.
- Computational derivatives: MediaPipe keypoints, HaMeR hand estimates, and SAM 3D Body full-body 3D reconstructions.
- Item selection started from the book "Mijn eerste 1500 gebaren" (Nederlands Gebarencentrum, 2012), and recordings were made with the signCollect platform.
- Released on Figshare under a CC BY-NC 4.0 license, for non-commercial reuse only.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

## Institutions

- [University of Amsterdam](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) — University, Amsterdam, Netherlands · 151 works · 174,506 citations

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## Cite

Cite as: Annika Schiefner, Gomèr Otterspeer, Beyza Sümer and Floris Roelofsen. 2026. The SignBeach Dataset of Dutch Sign Language (NGT) signs. Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion.

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{schiefner2026signbeach,
  title = {{The SignBeach Dataset of Dutch Sign Language (NGT) signs}},
  author = {Annika Schiefner, Gomèr Otterspeer, Beyza Sümer and Floris Roelofsen},
  booktitle = {Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion},
  year = {2026},
  doi = {10.63317/2whuhuqvwuix},
  url = {https://doi.org/10.63317/2whuhuqvwuix}
}
```

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## References

37 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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33. Marc Schulder, Dolly Blanck, Thomas Hanke, Ilona Hofmann, Sung-Eun Hong, Olga Jeziorski, Lutz König, Susanne König, Reiner Konrad, Gabriele Langer, Rie Nishio, and Christian Rathmann. 2024. Data statement for the public DGS corpus. DGS-Korpus Project Note AP06-2020-01. Version: 3. [find](https://scholar.google.com/scholar?q=Marc+Schulder%2C+Dolly+Blanck%2C+Thomas+Hanke%2C+Ilona+Hofmann%2C+Sung%2DEun+Hong%2C+Olga+Jeziorski%2C+Lutz+K%C3%B6nig%2C+Susanne+K%C3%B6nig%2C+Reiner+Konrad%2C+Gabriele+Langer%2C+Rie+Nishio%2C+and+Christian+Rathmann%2E+2024%2E+Data+state)
34. Zed Sevcikova Sehyr, Naomi Caselli, Ariel M Cohen-Goldberg, and Karen Emmorey. 2021. The ASL-LEX 2.0 project: A database of lexical and phonological properties for 2,723 signs in American Sign Language. The Journal of Deaf Studies and Deaf Education, 26(2):263–277. [find](https://scholar.google.com/scholar?q=Zed+Sevcikova+Sehyr%2C+Naomi+Caselli%2C+Ariel+M+Cohen%2DGoldberg%2C+and+Karen+Emmorey%2E+2021%2E+The+ASL%2DLEX+2%2E0+project%3A+A+database+of+lexical+and+phonological+properties+for+2%2C723+signs+in+American+Sign+Languag)
35. Patrick C. Trettenbrein, Jan Bümmerstede, Thomas A. Finkbeiner, Pia Gehlbach, Nina-Kristin Meister, Annika Schiefner, Petra B. Schumacher, Door Spruijt, Markus Steinbach, and Pamela Perniss. 2025. Towards a "DGS-LEX": A roadmap for the collaborative creation of a psycholinguistic database for German… [find](https://scholar.google.com/scholar?q=Patrick+C%2E+Trettenbrein%2C+Jan+B%C3%BCmmerstede%2C+Thomas+A%2E+Finkbeiner%2C+Pia+Gehlbach%2C+Nina%2DKristin+Meister%2C+Annika+Schiefner%2C+Petra+B%2E+Schumacher%2C+Door+Spruijt%2C+Markus+Steinbach%2C+and+Pamela+Perniss%2E+2025%2E+Tow)
36. Freya Watkins, Diar Abdlkarim, Bodo Winter, and Robin L. Thompson. 2024. Viewing angle matters in British Sign Language processing. Scientific Reports, 14(1):1043. [find](https://scholar.google.com/scholar?q=Freya+Watkins%2C+Diar+Abdlkarim%2C+Bodo+Winter%2C+and+Robin+L%2E+Thompson%2E+2024%2E+Viewing+angle+matters+in+British+Sign+Language+processing%2E+Scientific+Reports%2C+14%281%29%3A1043%2E)
37. Xitong Yang, Devansh Kukreja, Don Pinkus, Anushka Sagar, Taosha Fan, Jinhyung Park, Soyong Shin, Jinkun Cao, Jiawei Liu, Nicolas Ugri-novic, Matt Feiszli, Jitendra Malik, Piotr Dollar, and Kris Kitani. 2025. SAM 3D Body: Robust full-body human mesh recovery. arXiv preprint. [find](https://scholar.google.com/scholar?q=Xitong+Yang%2C+Devansh+Kukreja%2C+Don+Pinkus%2C+Anushka+Sagar%2C+Taosha+Fan%2C+Jinhyung+Park%2C+Soyong+Shin%2C+Jinkun+Cao%2C+Jiawei+Liu%2C+Nicolas+Ugri%2Dnovic%2C+Matt+Feiszli%2C+Jitendra+Malik%2C+Piotr+Dollar%2C+and+Kris+Kitani)

*Updated 1 November 2026*