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Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation., и . Inf., 13 (5): 220 (2022)Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention., , и . CVPR Workshops, стр. 3441-3450. Computer Vision Foundation / IEEE, (2021)Querying A Sign Language Dictionary with Videos Using Dense Vector Search., и . ICASSP Workshops, стр. 1-5. IEEE, (2023)Sign Language Recognition with Transformer Networks., , и . LREC, стр. 6018-6024. European Language Resources Association, (2020)SignON: Sign Language Translation. Progress and challenges., , , , , , , , , и 13 other автор(ы). EAMT, стр. 501-502. European Association for Machine Translation, (2023)Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project., , , , , , , , , и 4 other автор(ы). EAMT, стр. 323-324. European Association for Machine Translation, (2022)Frozen Pretrained Transformers for Neural Sign Language Translation., , , , , , и . AT4SSL@MTSummit, стр. 88-97. Association for Machine Translation in the Americas, (2021)Trends and Challenges for Sign Language Recognition with Machine Learning., , , и . ESANN, (2023)From Scarcity to Understanding: Transfer Learning for the Extremely Low Resource Irish Sign Language., , , , , , и . ICCV (Workshops), стр. 2000-2009. IEEE, (2023)Challenges with Sign Language Datasets for Sign Language Recognition and Translation., , , , , и . LREC, стр. 2478-2487. European Language Resources Association, (2022)