Search results
Results: 107
Number of items: 107
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Özyıldız, D., Qing, C., Roelofsen, F., Uegaki, W., & Romero, M. (2026). Operationalizing focus-sensitivity in a cross-linguistic context. Natural Language Semantics, 34(1), 47–83. https://doi.org/10.1007/s11050-025-09243-w -
Ritmeester, J., Sümer, B., Boonstra, M., de Meulder, M., van der Aa, B., & Roelofsen, F. (2026). Navigating sign language learning: insights from hearing parents of deaf and hard-of-hearing children. Journal of Deaf Studies and Deaf Education, 31(1), 85-103. https://doi.org/10.1093/jdsade/enaf059 -
Loy, L., Trujillo, J. P., & Roelofsen, F. (2026). Virtual agents as a scalable tool for diverse, robust gesture recognition. Behavior Research Methods, 58(2), Article 41. https://doi.org/10.3758/s13428-025-02914-w -
Andersen, J. I., Otterspeer, G., Belleman, R., & Roelofsen, F. (2025). Designing a Marker Based Motion Capture Setup for Sign Language Research. In Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents: IVA 2025 : 16th-19th September 2025, Berlin, Germany Article 12 ACM. https://doi.org/10.1145/3742886.3756736 -
Xia, Z. D., de Meulder, M., Otterspeer, G., & Roelofsen, F. (2025). User Acceptance of Augmented Remote Sign Language Interpreting. In Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents: IVA 2025 : 16th-19th September 2025, Berlin, Germany Article 22 ACM. https://doi.org/10.1145/3742886.3756738 -
Veiga Busto, R., Degano, M., & Roelofsen, F. (2025). The indefinite-interrogative affinity in Catalan Sign Language (LSC). Sign Language & Linguistics, 28(1), 49-103. https://doi.org/10.1075/sll.24002.vei -
Esselink, L. D., Roelofsen, F., & Oomen, M. (2024, January 29). Guidelines and evaluation methods for annotating non-manual markers in sign languages - test set for guidelines version 1 [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.25103648.v1
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Ranum, O., Wessels, D., Otterspeer, G., Bekkers, E. J., Roelofsen, F., & Andersen, J. I. (2024). The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition. Proceedings of Machine Learning Research, 251, 286-302. https://proceedings.mlr.press/v251/ranum24a.html -
Oomen, M., van Boven, C., Esselink, L., de Ronde, T., & Roelofsen, F. (2024). Guidelines: Version 1.2024. Web publication or website, ANM. https://nonmanuals.net/annotation-guidelines/archive/1.2024
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