Publication: Linguistically Motivated Sign Language Segmentation
Linguistically Motivated Sign Language Segmentation
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Moryossef, A., Jiang, Z., Müller, M., Ebling, S., & Goldberg, Y. (2023). Linguistically Motivated Sign Language Segmentation. 12703–12724. https://doi.org/10.18653/v1/2023.findings-emnlp.846
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Sign language segmentation is a crucial task in sign language processing systems. It enables downstream tasks such as sign recognition, transcription, and machine translation. In this work, we consider two kinds of segmentation: segmentation into individual signs and segmentation into \textitphrases, larger units comprising several signs. We propose a novel approach to jointly model these two tasks. Our method is motivated by linguistic cues observed in sign language corpora. We replace the predominant IO tagging scheme with BIO taggi
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Moryossef, A., Jiang, Z., Müller, M., Ebling, S., & Goldberg, Y. (2023). Linguistically Motivated Sign Language Segmentation. 12703–12724. https://doi.org/10.18653/v1/2023.findings-emnlp.846