| Challenge: | Linked Data (LD) compliant datasets for sign languages are not available in the LLOD cloud. |
| Approach: | They propose to create an ontology for representing constitutive elements of Sign Languages (SL) they propose to publish such data in the Linguistic Linked Open Data cloud. |
| Outcome: | The proposed ontology can be used to represent sign languages in the Linguistic Linked Open Data cloud. |
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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. |
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 . |
| Outcome: | The proposed algorithm performs well on automatic metrics for sign-to-sign translation and generation. |
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. |
| Approach: | They propose a web-based tool for annotating the articulatory features of signs . they compare handshapes for four Asian SLs and handshape for the entire sample . |
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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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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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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 . |
| Approach: | They propose to include signed languages as a research area with high social and scientific impact . they review the limitations of current SLP models and identify the open challenges . |
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An Integrated Formal Representation for Terminological and Lexical Data included in Classification Schemes (L18-1)
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| Challenge: | e-lexicography is a field of study dealing with the automated creation of specialized multilingual dictionaries from structured data. |
| Approach: | They propose to use a SKOS-XL vocabulary for modelling the multilingual terminological part of comparable taxonomies and OntoLex-Lemon for modelling multilingual lexical entries. |
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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. |
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Understanding Cross-Lingual Alignment—A Survey (2024.findings-acl)
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
| Approach: | They propose a taxonomy of methods to improve cross-lingual alignment . they argue that an effective trade-off between language-neutral and language-specific information is key . |
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OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages (2022.acl-long)
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| Challenge: | a new study examines the performance of pretraining for sign language recognition in low-resource settings. |
| Approach: | They propose using pose extracted through pretrained models as the standard modality of data to reduce training time and enable efficient inference. |
| Outcome: | The proposed model reduces training time and allows efficient inference in sign languages. |