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6 changes: 6 additions & 0 deletions src/index.md
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Expand Up @@ -1075,6 +1075,12 @@ Results on these datasets demonstrate state-of-the-art performance compared to p

@malmberg-etal-2024-exploring train a VQ-VAE on pose-tracked Swedish Sign Language data to learn a codebook of motion primitives, comparing models trained on isolated signs, sentences, and a mixed set, and find that the sentence-trained model best reconstructs in-the-wild YouTube signing whose velocity profile is markedly faster than dictionary data.

### Linguistic Analysis

This sub-area covers experimental studies of sign language structure that use computational tools (corpus mining, computer-vision-assisted measurement, statistical modelling) to characterize specific linguistic phenomena, rather than to introduce new SLP methods.

@gavrilescu-etal-2024-content compared corpus, elicitation, and fieldwork methods across Greek, French, and Swedish Sign Languages to characterize the distribution of wh-signs and their non-manual markers.

## Annotation Tools

##### ELAN - EUDICO Linguistic Annotator
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20 changes: 20 additions & 0 deletions src/references.bib
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Expand Up @@ -4617,3 +4617,23 @@ @inproceedings{filhol-von-ascheberg-2024-software
url = {https://aclanthology.org/2024.signlang-1.8},
year = {2024}
}

@inproceedings{gavrilescu-etal-2024-content,
title = "Content Questions in Sign Language {--} From theory to language description via corpus, experiments, and fieldwork",
author = "Gavrilescu, Robert and
Geraci, Carlo and
Mesch, Johanna",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Hochgesang, Julie A. and
Mesch, Johanna and
Schulder, Marc",
booktitle = "Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.signlang-1.9/",
pages = "86--94"
}
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