{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/unsupervised-discovery-of-sign-terms-by-k","title":"Unsupervised Discovery of Sign Terms by K-Nearest Neighbours Approach","arxiv_id":null,"date":"2020-08-25","proceeding":null,"authors":["Korhan Polat","Murat Saraclar"],"abstract":"In order to utilize the large amount of unlabeled sign language resources, unsupervised learning methods are needed. Motivated by the successful results of unsupervised term discovery (UTD) in spoken  languages,  here  we  explore  how  to  apply  similar  methods  for  sign terms discovery. Our goal is to find the repeating terms from continuous sign videos without any supervision. Using visual features extracted from  RGB  videos,  we  show  that  a  k-nearest  neighbours  based  discovery algorithm designed for speech can also discover sign terms. We also run experiments using a baseline UTD algorithm and comment on their differences.","url_abs":"https://link.springer.com/chapter/10.1007/978-3-030-66096-3_22","url_pdf":"https://slrtp.com/papers/full_papers/SLRTP.FP.09.028.paper.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"unsupervised-discovery-of-sign-terms-by-k","repo_url":"https://github.com/korhanpolat/TermDiscoveryKNN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}