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2 changes: 2 additions & 0 deletions src/index.md
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Expand Up @@ -569,6 +569,8 @@ they combine the phonological annotations in ASL-LEX 2.0 [@dataset:sehyr2021asl]
Interestingly, @tavella-etal-2022-wlasl construct a similar dataset aiming just for phonological property recognition in American Sign Language (ASL).
@inoue-etal-2024-enhancing trained a Video-Keypoint Network (VKNet) to classify the location, movement, and handshape syllabic components of the dominant hand in Japanese Sign Language (JSL), and demonstrated that pre-training on the WLASL American Sign Language (ASL) dataset improved classification of the movement and handshape components when JSL training data was limited.

@roh-etal-2024-preprocessing focus on preprocessing MediaPipe keypoints for isolated SLR by introducing palm-anchor-based normalization to emphasize hand shape and bilinear interpolation to reconstruct undetected hand keypoints, achieving the highest accuracy on WLASL-100 with a Transformer encoder among pose-based approaches at the time.

#### Gloss-to-Pose
Gloss-to-Pose, subsumed under the task of sign language production, is the task of producing a sequence of poses that adequately represent
a sequence of signs written as gloss.
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13 changes: 13 additions & 0 deletions src/references.bib
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Expand Up @@ -4545,6 +4545,15 @@ @inproceedings{zhou-etal-2024-multimodal
Chen, Yuxiao and
Neidle, Carol and
Metaxas, Dimitris N.",
}

@inproceedings{roh-etal-2024-preprocessing,
title = "Preprocessing Mediapipe Keypoints with Keypoint Reconstruction and Anchors for Isolated Sign Language Recognition",
author = "Roh, Kyunggeun and
Lee, Huije and
Hwang, Eui Jun and
Cho, Sukmin and
Park, Jong C.",
editor = "Efthimiou, Eleni and
Fotinea, Stavroula-Evita and
Hanke, Thomas and
Expand All @@ -4559,3 +4568,7 @@ @inproceedings{zhou-etal-2024-multimodal
url = "https://aclanthology.org/2024.signlang-1.45/",
pages = "408--419"
}

url = "https://aclanthology.org/2024.signlang-1.36/",
pages = "323--334"
}
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