{"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/hmms-for-unsupervised-vietnamese","title":"HMMs for Unsupervised Vietnamese WordSegmentation","arxiv_id":null,"date":"2019-05-16","proceeding":null,"authors":["Ba-Long Bui","Thi-Trang Nguyen","Huu-Hoang Nguyen","Kiem-Hieu Nguyen"],"abstract":"Word segmentation is an important problem in nat-ural language processing. Most of previous works on Vietnameseword segmentation are supervised learning. In this paper, wepropose an unsupervised method for Vietnamese word segmenta-tion based on Hidden Markov Models. We naturally encode priorlinguistic knowledge into model learning. In decoding, we proposean enhancement of Viterbi decoding algorithm with externaltoken ordering statistics from Pointwise Mutual Information.Evaluation on benchmark datasets shows that the proposedmethod works reasonably well.\r\nSourcecode is available at https://github.com/longbb/wordrecognition","url_abs":"https://ieeexplore.ieee.org/abstract/document/8713693","url_pdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8713693","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":"hmms-for-unsupervised-vietnamese","repo_url":"https://github.com/longbb/word_recognition","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}