Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards (2026.acl-long)
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| Challenge: | Existing benchmarks fail to reflect real-world communication needs and are limited in their coverage. |
| Approach: | They present a comprehensive index of sign-language datasets, covering 120 resources across 35 sign languages. |
| Outcome: | The proposed index covers 120 resources across 35 sign languages. |
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Sign2Vis: Automated Data Visualization from Sign Language (2025.findings-acl)
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| Challenge: | Existing methods to translate natural language descriptions into visualization queries focus on spoken languages, not sign languages. |
| Approach: | They propose a sign language interface that enables the DHH community to engage more fully with data analysis. |
| Outcome: | The proposed interface can be used by the deaf and hard-of-hearing community. |
Challenges with Sign Language Datasets for Sign Language Recognition and Translation (2022.lrec-1)
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Mirella De Sisto, Vincent Vandeghinste, Santiago Egea Gómez, Mathieu De Coster, Dimitar Shterionov, Horacio Saggion
| Challenge: | Sign Languages are the primary means of communication for at least half a million people in Europe . however, the development of SL recognition and translation tools is slowed down by resource scarcity and data formats are not suitable for machine learning. |
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How to Align Multiple Signed Language Corpora for Better Sign-to-Sign Translations? (2025.naacl-long)
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| Challenge: | despite the growing need for advanced signing technologies, signed language resources remain scarce. |
| Approach: | They propose a linguistically informed alignment algorithm that matches instances between signed languages . they compare similarities and differences across three signed languages to develop a model . |
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Sign Languages and the Online World Online Dictionaries & Lexicostatistics (L18-1)
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| Challenge: | Several online dictionaries documenting the lexicon of a variety of sign languages are available . methodological issues must be addressed regarding how these resources are used for research purposes. |
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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language (2022.acl-short)
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| Challenge: | Signed Language Processing (SLP) is a major form of NLP, but has been overlooked by the NLP community. |
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| Challenge: | Using crowd-sourced sign language datasets to reduce performance disparities is critical to addressing potential biases and inequities. |
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Including Signed Languages in Natural Language Processing (2021.acl-long)
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| Challenge: | Existing research in Sign Language Processing (SLP) rarely explores signed languages . authors urge adoption of an efficient tokenization method and the collection of real-world signed language data . |
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CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language (2026.acl-long)
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| Challenge: | CNSL-bench is the first comprehensive Chinese National Sign Language benchmark . current MLLMs are inferior to human performance, despite advances in multimodal modeling . |
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IPSL: A Database of Iconicity Patterns in Sign Languages. Creation and Use (L18-1)
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| Challenge: | a database of signs annotated according to iconicity parameters was created . the database contains 1542 signs in 19 sign languages . |
| Approach: | a team of researchers has created a large-scale database of iconic signs . the database contains 1542 signs in 19 sign languages . |
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Alignment Data base for a Sign Language Concordancer (2020.lrec-1)
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| Challenge: | a new study examines the need for sign language translators to have tools similar to text-to-text translation. |
| Approach: | They propose to use a concordancer to search for parallel Franch-LSF segments . they use dozens of short news clips and 120 SL videos to align them manually . |
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