{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:51:11Z","timestamp":1743022271931,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031446955"},{"type":"electronic","value":"9783031446962"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-44696-2_31","type":"book-chapter","created":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T09:03:59Z","timestamp":1696669439000},"page":"392-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel POS-Guided Data Augmentation Method for\u00a0Sign Language Gloss Translation"],"prefix":"10.1007","author":[{"given":"Shan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yafang","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Yidong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xiaodong","family":"Shi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,10,8]]},"reference":[{"key":"31_CR1","unstructured":"Bungeroth, J., Ney, H.: Statistical sign language translation, p. 4"},{"key":"31_CR2","doi-asserted-by":"publisher","unstructured":"Camgoz, N.C., Hadfield, S., Koller, O., Ney, H., Bowden, R.: Neural sign language translation. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pp. 7784\u20137793. IEEE (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00812","DOI":"10.1109\/CVPR.2018.00812"},{"key":"31_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Y., Wei, F., Sun, X., Wu, Z., Lin, S.: A simple multi-modality transfer learning baseline for sign language translation (2022)","DOI":"10.1109\/CVPR52688.2022.00506"},{"key":"31_CR4","doi-asserted-by":"publisher","unstructured":"Cihan Camgoz, N., Koller, O., Hadfield, S., Bowden, R.: Sign language transformers: joint end-to-end sign language recognition and translation. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, pp. 10020\u201310030. IEEE (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.01004","DOI":"10.1109\/CVPR42600.2020.01004"},{"key":"31_CR5","doi-asserted-by":"crossref","unstructured":"Cui, R., Hu, L., Zhang, C.: Recurrent convolutional neural networks for continuous sign language recognition by staged optimization. In: IEEE Conference on Computer Vision & Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.175"},{"key":"31_CR6","doi-asserted-by":"publisher","unstructured":"Duarte, A., et al.: How2Sign: a large-scale multimodal dataset for continuous American sign language (2021). https:\/\/doi.org\/10.48550\/arXiv.2008.08143","DOI":"10.48550\/arXiv.2008.08143"},{"key":"31_CR7","doi-asserted-by":"publisher","unstructured":"Gan, S., Yin, Y., Jiang, Z., Xie, L., Lu, S.: Skeleton-aware neural sign language translation. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 4353\u20134361. ACM, Virtual Event China (2021). https:\/\/doi.org\/10.1145\/3474085.3475577","DOI":"10.1145\/3474085.3475577"},{"key":"31_CR8","doi-asserted-by":"publisher","unstructured":"Hao, A., Min, Y., Chen, X.: Self-mutual distillation learning for continuous sign language recognition. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, pp. 11283\u201311292. IEEE (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.01111","DOI":"10.1109\/ICCV48922.2021.01111"},{"key":"31_CR9","doi-asserted-by":"crossref","unstructured":"Kambhatla, N., Born, L., Sarkar, A.: CipherDAug: ciphertext based data augmentation for neural machine translation (2022)","DOI":"10.18653\/v1\/2022.acl-long.17"},{"key":"31_CR10","doi-asserted-by":"publisher","unstructured":"Kan, J., Hu, K., Hagenbuchner, M., Tsoi, A.C., Bennamoun, M., Wang, Z.: Sign language translation with hierarchical spatio-temporal graph neural network. In: 2022 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2131\u20132140 (2022). https:\/\/doi.org\/10.1109\/WACV51458.2022.00219","DOI":"10.1109\/WACV51458.2022.00219"},{"issue":"4","key":"31_CR11","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s10209-019-00695-6","volume":"19","author":"H Luqman","year":"2019","unstructured":"Luqman, H., Mahmoud, S.A.: A machine translation system from Arabic sign language to Arabic. Univ. Access Inf. Soc. 19(4), 891\u2013904 (2019). https:\/\/doi.org\/10.1007\/s10209-019-00695-6","journal-title":"Univ. Access Inf. Soc."},{"key":"31_CR12","unstructured":"Moryossef, A., Yin, K., Neubig, G., Goldberg, Y.: Data augmentation for sign language gloss translation, p. 11 (2021)"},{"key":"31_CR13","unstructured":"Othman, A., Jemni, M.: English-ASL gloss parallel corpus 2012: ASLG-PC12. In: 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon LREC (2012)"},{"key":"31_CR14","doi-asserted-by":"publisher","unstructured":"\u015eahin, G.G., Steedman, M.: Data augmentation via dependency tree morphing for low-resource languages (2019). https:\/\/doi.org\/10.48550\/arXiv.1903.09460","DOI":"10.48550\/arXiv.1903.09460"},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Ye, J., Jiao, W., Wang, X., Tu, Z.: Scaling back-translation with domain text generation for sign language gloss translation (2022)","DOI":"10.18653\/v1\/2023.eacl-main.34"},{"key":"31_CR16","doi-asserted-by":"crossref","unstructured":"Yin, K., Read, J.: Better sign language translation with STMC-transformer (2020)","DOI":"10.18653\/v1\/2020.coling-main.525"},{"key":"31_CR17","unstructured":"Zhang, X., Duh, K.: Approaching sign language gloss translation as a low-resource machine translation task. In: Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL), pp. 60\u201370. Association for Machine Translation in the Americas, Virtual (2021)"},{"key":"31_CR18","doi-asserted-by":"crossref","unstructured":"Zhou, H., Zhou, W., Qi, W., Pu, J., Li, H.: Improving sign language translation with monolingual data by sign back-translation (2021)","DOI":"10.1109\/CVPR46437.2021.00137"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44696-2_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,7]],"date-time":"2023-10-07T09:09:29Z","timestamp":1696669769000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44696-2_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031446955","9783031446962"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44696-2_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Foshan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2023\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"478","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"143","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}